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Professor Jie Bao

BE ME (Zhejiang), PhD (Qld) 

Leader, Process Control Group

School of Chemical Engineering
The University of New South Wales

UNSW SYDNEY NSW 2052
Australia

Telephone: +61 (2) 9385 6755
Facsimile: +61 (2) 9385 5966
Email: J.Bao@unsw.edu.au


EDUCATION:

PhD Chem Eng, The University of Queensland (1998), ME & BE Zhejiang University

EMPLOYMENT:

School of Chemical Engineering, UNSW, Professor, 2013-

School of Chemical Engineering, UNSW, Associate Professor, 2008-2012

School of Chemical Engineering, UNSW, Senior Lecturer, 2003-2007

School of Chemical Engineering, UNSW, Lecturer, 1999-2003

University of Alberta, Edmonton, Canada, Postdoctoral Research Fellow, 1998-1999

PROFESSIONAL ACTIVITIES:

Associate Editor, Journal of Process Control

Member, National Committee on Automation, Control and Instrumentation, Engineers Australia

Referee for scholarly journals including:

•       Journal of Process Control

•       IEEE transactions on Automatic Control

•       IEE Proc. Control Theory & Applications

•       Journal of Dynamic Systems, Measurement and Control

•       Industrial & Engineering Chemistry Research

•       Chemical Engineering Science

•       Journal of Membrane Science

•       Automatica

•       Computers and Chemical Engineering

•       Powder Technology

•       AIChE Journal

Research Interests:

Computer Process Control and Process Systems Engineering:

§  Process control based on dissipativity

§  Plantwide control

§  Distributed model predictive control

§  Integration of process design and control

§  Fault  detection and fault tolerant control systems

§  Process control applications:

     Aluminium smelting process

     Flow batteries and distributed energy storage

     Mineral processes

     Membrane separation processes

RECENT/CURRENT RESEARCH PROJECTS:

§  A Distributed Optimization-based Approach to Flexible Plantwide Control using Differential Dissipativity (ARC Discovery Project: DP180101717, 2018-2020, $383K)

In today's demand-dynamic economy, the Australian process industry needs to shift from traditional mass production to smart manufacturing for more agile, cost-effective and flexible process operation responding to the market. While governments and industries worldwide have heavy invested in this new industry paradigm, developments are largely limited to its information technology aspect. This project will investigate the process control methodologies crucial to smart manufacturing.

Based on contraction and dissipativity theories, this project aims to develop a distributed optimization-based nonlinear control approach for plantwide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plantwide stability at any feasible setpoints or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plantwide economic objectives in a self-organizing manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.

Supported by the Australian Research Council. In collaboration with Dr. Jinfeng Liu, University of Alberta (international partner investigator).

§  Advanced Distributed Cell Control for Aluminium Smelting Cells (Industrial Project sponsored by Emirate Global Aluminium, 2018-2020, $867K)

This project aims to develop a novel alumina feeder design and an advanced real-time cell control strategy to achieve more uniform and smooth alumina concentration spatially and temporally, more uniform anode current distribution, and better distributed heat management, resulting in a more balanced and stable cell with reduced background perfluorocarbon emission and sludge formation.

Supported by Emirate Global Aluminium, in collaboration with Prof. Barry J. Welch.

§  An Integrated Approach to Distributed Fault Diagnosis and Fault-tolerant Control for Plantwide Processes (ARC Discovery Project: DP160101810, 2016-2018, $285K)

Modern industrial processes are very complex, with distributed process units via a network of material and energy streams. Their operations increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Occurrence of faults is increased by the common practice to operate processes close to their design constraints for economic considerations. This project will develop a new approach to detect and reduce the impact of these faults, which can cause significant economic, environment and safety problems.

Based on the concept of dissipative systems, this project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plantwide processes. The key dynamic features of normal and abnormal processes are captured by their dissipativity properties, which are used to develop an efficient online fault diagnosis approach based on process input and output trajectories, without the use of state estimators or residual generators. Using the dissipativity framework, a distributed fault diagnosis approach will be developed to identify the locations and faults in a process network. A distributed fault tolerant control approach will be developed to ensure plantwide stability and performance.

Supported by the Australian Research Council.

§  Control of Distributed Energy Storage System using Vanadium Batteries (ARC Discovery Project DP150103100, 2015-2017, $341K)

The ever-increasing integration of distributed renewable energy generation sources with the electricity grid reduces our reliance on fossil fuels and carbon emissions but also presents risks to the grid’s stable and reliable operation due to intermittent nature of such sources. This project will develop some key technologies of battery energy storage and control to address the above issues and help defer the investment for the augmentation of the transmission and distribution networks.

This project aims to develop a new control approach to distributed energy storage at stack, system and microgrid levels, utilising one of the most promising flow battery technologies - Vanadium Redox batteries. This is the first attempt of a storage centric approach that includes (1) an integrated approach to design and control of Vanadium flow batteries with novel advanced power electronics technologies to achieve optimal charging/discharging conditions and (2) a scalable distributed energy storage and power management approach incorporating energy pricing for storage dispatch that allows distributed autonomous controllers to achieve optimal local techno-economic performance and microgrid-wide efficiency and reliability.

Supported by the Australian Research Council. In collaboration with Prof. M. Skyllas-Kazacos.

§  Dissipativity based Distributed Model Predictive Control for Complex Industrial Processes (ARC Discovery Project: DP130103330, 2013-2015, $315K)

Based on the behavioural approach to systems and dissipativity theory, this project aims to integrate nonlinear control theory with distributed optimization to develop a novel distributed predictive control approach for complex industrial processes. In this approach, the global objectives (i.e., the plantwide stability and performance) are converted into the local constraints of dissipativity conditions for non-cooperative optimization performed in the distributed controllers. The outcomes will include a framework and the fundamental control theory for distributed autonomous model predictive control that achieves improved scalability, flexibility and robustness compared with existing distributed predictive control approaches.

Supported by the Australian Research Council. In collaboration with Dr. Jinfeng Liu, University of Alberta (international partner investigator).

§  Anode Current Distribution Monitoring and Analysis (DUBAL, 2013-2015, $528K)

This project develops a new monitoring approach for monitoring aluminium smelting cells, including an instrumentation scheme for measuring distributed process variables and a soft sensor method for estimating the important process variables that cannot be directly measured.

Supported by Dubai Aluminium Company. In collaboration with Prof. M. Skyllas-Kazacos and B. J. Welch.

§  Advanced Control of Membrane Processes (ARC Discovery Project: DP110101643, 2011-2014, $276K)

Fouling reduces throughput and productivity of membrane systems and as such increases operating costs and reduces profitability of water treatment industries. This work aims to reduce membrane fouling by reducing the amount of solute at the membrane surface. This is achieved by implementing destabilizing electro-osmotic flow control. The significance of this project lies in linking feedback control of electro-osmotic effects with spacer design to maximize flow instabilities. This project will advance modelling of flow in membrane channels and develop a novel feedback flow control strategy that enhances mixing. The effectiveness and operability of the new fouling reduction approach on real-world membrane systems will be evaluated.  With over $9bn worth of membrane-based desalination plants either in operation, under construction or being planned in Australia, the expected outcomes of this project will lead to significant social and economical benefit and provide greater water security.

Supported by the Australian Research Council. In collaboration with Prof. D.E. Wiley and Dr. Alessio Alexiadis, Washington University in St. Louis (international partner investigator).

§  Advanced Dynamic Control for Paste Thickeners (ACARP Project C21055, 2012-2013, $131K)

The objective of the proposed project is to develop an online dynamic feedback control approach to improve the operation of paste thickeners through adopting modern control strategies (in particular, model predictive control) already successfully applied in the petro-chemical industry. This would be an ideal test case for applying advanced dynamic control for complete CHPPs or other variable dynamic processes such as flotation.

Supported by Australian Coal Association Research Program. In collaboration with Dr. Goezt Bickert, GBL Process Pty Ltd.

§  Plantwide Control of Modern Chemical Processes from a Network Perspective (ARC Discovery Project: DP1093045, 2010-2014, $280K)

To achieve high economical efficiency, modern chemical plants are becoming increasingly complex, to an extent that cannot be effectively managed by existing process modelling and control techniques. By exploring the physical fundamentals in thermodynamics and their connections to control theory, this project aims to develop a new modelling and control approach that can be applied to complicated nonlinear processes. In this approach, processes over the entire plant are analysed and controlled from a network perspective using the dissipativity control theory. The outcomes of this project will form the cornerstones of a new process control paradigm that offers more robust and reliable process operation at any scale.

Supported by the Australian Research Council. In collaboration with Prof. Erik Ydstie, Carnegie Mellon University (international partner investigator).

§  Advanced Control of Aluminium Smelting Cells (CSIRO National Research Flagship Project, Project 9B, 2009-2012, $438K)

Primary production of aluminium is highly energy intensive, with energy costs representing 22-36% of operating costs in smelters. The Australian aluminium smelting industry consumed 29,500 GWh of electricity in 2007, 13% of final electricity consumption in Australia. The long term sustainability of the aluminium smelting industry depends on energy-efficient production technologies for global competitiveness. The aim of the project is to improve auto-diagnosis of the occurrence of the root-cause for abnormal process conditions in the smelting cells that adversely impact energy and environmental efficiencies. The expected outcomes include: (1) An adaptive model for the change in control signal and control algorithms with different abnormalities and at different operating line current levels, (2) A sequence of diagnostic sub-routines based on processing signals at different, (3) A schemes for alarms and guidelines for human interface interaction when needed.

Supported by CSIRO National Research Flagships Light Metal Flagship Cluster. In collaboration with Profs. Welch and Skyllas-Kazacos.

RESEARCH GRANTS AWARDED:

More than $4.7 Million competitive research funding (excluding MREII or ARC LIEF), including 9 ARC Discovery Projects grants:

Title of project and names of Chief Investigators

Source and scheme

Duration

Amount AUD$

A Distributed Optimization-based Approach to Flexible Plantwide Control using Differential Dissipativity (DP180101717)

Chief Investigator: J. Bao

International Partner Investigator: J.F. Liu (University of Alberta)

ARC Discovery Projects

(Category 1 grant)

2018-2020

$382,834

Advanced Distributed Cell Control for Aluminium Smelting Cells

Chief Investigators: J. Bao and B.J. Welch

Industry

(EGA)

2018-2020

$867,000

An Integrated Approach to Distributed Fault Diagnosis and Fault-tolerant Control for Plantwide Processes (DP160101810)

Chief Investigator: J. Bao

ARC Discovery Projects

(Category 1 grant)

2016-2018

$285,000

Control of Distributed Energy Storage System using Vanadium Batteries (DP150103100)

Chief Investigators: J. Bao, M. Skyllas-Kazacos

ARC Discovery Projects

(Category 1 grant)

2015-2017

$340,700

Dissipativity based Distributed Model Predictive Control for Complex Industrial Processes (DP130103330)

Chief Investigator: J. Bao

International Partner Investigator: J.F. Liu (University of Alberta)

ARC Discovery Projects

(Category 1 grant)

2013-2015

$315,000

Anode current distribution monitoring and analysis

Chief Investigators: J. Bao, M. Skyllas-Kazacos and B.J. Welch

Industry

(DUBAL)

2013-2015

$528,000

Feedback destabilizing control of electro-osmotic flow for reducing fouling and enhancing productivity of membrane systems (DP110101643)

Chief Investigators: J. Bao and D.E. Wiley

International Partner Investigator: A. Alexiadis

ARC Discovery Projects

(Category 1 grant)

2011-2014

$276,000

Advanced Dynamic Control for Paste Thickeners – First stage for control of complete CHPPs (C21055)

Chief Investigators: J. Bao (UNSW project leader), G. Bickert (GBL Process project leader)

Australian Coal Association Research Program (ACARP)

(Category 1 grant)

2012-2013

$131,285

Plantwide control of modern chemical processes from a network perspective (DP1093045)

Chief Investigator: J. Bao

International Partner Investigator: B.E. Ydstie (Carnegie Mellon University)

ARC Discovery Projects

(Category 1 grant)

2010-2014

$280,000

Breakthrough Technology for Primary Aluminium -  Advanced Control (process data and regulation approaches) (Project 9B)

Chief Investigators: J. Bao, B.J. Welch and M. Skyllas-Kazacos

CSIRO Light Metal National Flagship Research Cluster Fund

(Category 1 grant)

2009-2012

$438,000

Dynamic Controllability Analysis for Plantwide Process Design and Control (DP0558755)

Chief Investigators: J. Bao and P.L. Lee

ARC Discovery Projects

(Category 1 grant)

2005-2007

$178,000

Defining Fundamental Principles for the Design and Operation of Membrane Systems from Time-Varying Performance Analysis (DP0343073)

Chief Investigators: D.E. Wiley, J. Bao, D.J. Clements  and D.F. Fletcher

ARC Discovery Projects

(Category 1 grant)

2003-2005

$375,000

Passivity-based Fault-tolerant Decentralized Control for Linear and Nonlinear Processes (A00104473)

Chief Investigators: J. Bao and P.L. Lee

ARC Large Projects (Discovery)

(Category 1 grant)

2001-2003

$202,857

A behaviour approach to optimization based controller coordination for complex process systems.

Chief Investigator: J. Bao

UNSW FRG

2009

$25,000

Soft sensor Development for Milling processes Aided by Discrete Element Models

Chief Investigators: J. Bao and A.B. Yu (cross faculty project)

UNSW FRG

2007

$26,000

Interaction analysis and decoupling control of complex processes (CH060018)

Chief Investigator: J. Bao

DEST International Science Linkages

2007-2009

$16,470

Fundamental Principles for Designing and Operation of Membrane Systems

Chief Investigator: D.E. Wiley

Associate Investigators: J. Bao and D.F. Fletcher

UNSW URSP

2002

$17,600

An Integrated Approach to Modelling and Robust Process Control

Chief Investigator: J. Bao

Partner Investigator: and W.J. Whiten

UNSW URSP

2002-2003

$38,868

Studies on Failure-tolerant Decentralised Control based on the Passivity Theorem

Chief Investigator: J. Bao

ARC small

(Category 1 research grant)

2000

$16,000

Enhancement of DCS-Centred Process Control Experimental Rig

Chief Investigators: J. Bao, D.E. Wiley and D.J. Clements

UNSW Research Infrastructure Block Grant

2000

$73,329

Members of Research GROUP:

Current members:

Research Personnel

Position

Project

Dr. Michael Tippett

Adjunct Lecturer

Distributed Control and Decision Making

Dr. Pesila Ratnayake

Research Associate

Flexible Process Control

Ruigang Wang

Research Associate

Dissipativity Based Fault Detection and Fault Tolerant Control

Dr. Yuchen Yao

Research Associate

Monitoring and Control of Aluminium Smelting Cells

Dr. Xinan Zhang

Research Associate

Control of Distributed Energy Storage

Parvez Akter

PhD candidate

Control of Distributed Energy Storage Systems

Steven (Yifeng) Li

PhD Candidate

Advanced Control of Vanadium Redox batteries

Jing Shi

PhD Candidate

Advanced Control of Aluminium Smelting Cells

Yitao Yan

PhD candidate

Dissipativity Based Fault Tolerant Control

PREVIOUS MEMBERS:

Research Personnel

 Thesis/Project Title

 Current affiliation

Dr. Richard Chan

An integrated approach to process modelling and control

GE Global Research

Dr. Winnie Cheung

Anode current distribution monitoring and analysis

State Street

Dr. Denny Hioe

Analysis of plantwide processes based on the concept of dissipative systems

Empirics Data Solutions

Dr. Nicolas Hudon

Plantwide Control of Modern Chemical Processes from a Network Perspective

Universitι Catholique de Louvain, Belgium

Dr. Qingyang Lei

Dissipativity Based Fault Detection

UNSW

Dr. Ali Jassim Banjab

Use of anode signal analysis for optimizing work practice, pot control logic and anode design in aluminium reduction cells in order to maximize cell performance

Emirates Global Aluminium

Dr. Chee Keong Tan

Model Based Control of Paste Thickeners

University of Malaysia

Dr. Luke McElroy

Soft-sensor development for milling processes

Curtin University

Dr. Osvaldo Rojas

Quantitative Dynamic Controllability Analysis for Integration of Process Design and Control

Simulation Modelling Services Pty Ltd

Dr. Herry Santoso

Controllability analysis for linear and nonlinear chemical processes

Parahyangan Catholic University

Dr. Ridwan Setianwan

Dynamic Controllability Analysis for Plantwide Processes

UBI Logistics and Supply Chain

Dr. Steven Su

Passivity based fault tolerant control for nonlinear systems

University of Technology, Sydney

Mr. Andika Suryodipuro

Controllability analysis using frequency domain tools

Institut Teknologi Bandung

Dr. Hua Ouyang

Feedback Destabilising Control of Electro-osmotic Flow for Membrane Fouling Reduction

University of Sydney

Dr. Ao Tang

Dynamic Modelling and Simulation of the All-Vanadium Redox Flow Battery

Institute of Metal Research, Chinese Academy of Sciences

Dr. Michael J. Tippett

Distributed Control and Decision Making

OSI Soft

Dr. Javan Tjakra

Modelling and control of particulate systems

Tately N.V. & Associated Co.

Dr. Shichao Xu

Distributed Control of Plantwide Chemical Processes: A Dissipativity Systems Approach

DHI Singapore

Dr. Kevin W.K. Yee

Operability Analysis of a Multiple-Stage Membrane Process

New South Wales Department of Planning

Dr. Frank Zhang

Passivity Based Fault Tolerant Control

 Qenos

Dr. Chaoxu Zheng

Distributed Model Predictive Control

UNSW

MAIN TEACHING ACTIVITIES:

CEIC3006 Process Dynamics and Control (Lecturer in Charge)

CEIC8102 Advanced Process Control (Lecturer in Charge)

ADMINISTRATION:

Deputy Head, School of Chemical Engineering

Member, School of Chemical Engineering Research Committee

SELECTED PUBLICATIONS

§  Books

•        Bao J.* and Lee P.L. (2007) Process Control: The Passive Systems Approach. Springer-Verlag London, ISBN: 978-1-84628-892-0. (253 pages)

§  Book Chapters

•        Bao J.* and Xu S.C. (2012) Plant-wide Process Control via a Network of Autonomous Controllers. In Plant-wide Control: Recent Developments and Applications:  Chapter 18, pp387-416, Wiley-Blackwell, ISBN: 978-0-470-98014-9.

§  Journal Publications

1.     Lei Q.Y., Wang R.G., Bao J.* (2018) Fault Diagnosis Based on Dissipativity Properties. Computers & Chemical Engineering 108: 360–371.

2.     Li Y.F., Zhang X.N., Bao J.*, Skyllas-Kazacos M. (2017) Control of Electrolyte Flow Rate for the Vanadium Redox Flow Battery by Gain Scheduling. Journal of Energy Storage 14: 125-133

3.     Wang R.G., Manchester I., Bao J.* (2017) Distributed Economic MPC with Separable Control Contraction Metrics. IEEE Control Systems Letters 1:104-109.

4.     Yao Y.C., Cheung C.Y., Bao J.*, Skyllas-Kazacos M., Welch B.J. and Akmetov S. (2017) Estimation of Spatial Alumina Concentration in an Aluminum Reduction Cell using a Multi-Level State Observer. AIChE Journal  63:2806-2818.

5.     Wang R.G. and Bao J.* (2017) Distributed Plantwide Control Based on Differential Dissipativity. International Journal of Robust and Nonlinear Control 27:2253–2274.

6.     Tan C.K., Bao J.* and Bickert G. (2017) A Study on Model Predictive Control in Paste Thickeners with Rake Torque Constraint. Minerals Engineering 105:52–62.

7.     Yan Y.T., Skyllas-Kazacos M.*, Bao J. (2017) Effects of Battery Design, Environmental Temperature and Electrolyte Flowrate on Thermal Behaviour of a Vanadium Redox Flow Battery in Different Applications. Journal of Energy Storage, 11:104-118.

8.     Li Y.F., Zhang X.N., Bao J.*, Skyllas-Kazacos M. (2017) Studies on optimal charging conditions for vanadium redox flow batteries. Journal of Energy Storage 11:191-199

9.     Ratnayake P. and Bao J.* (2017) Frequency Domain Constrained Optimization of Boundary Control Action for Maximization of Mixing in Channel Flow. Chemical Engineering Science, 158: 1–20.

10.  Dong S.J., Tao L.,  Wang W., Bao J., Cao Y. (2017) Identification of Discrete-time Output Error Model for Industrial Processes with Time Delay Subject to Load Disturbance. Journal of Process Control, 50: 40–55.

11.  Ratnayake P. and Bao J.* (2017) Actuation of Spatially-Varying Boundary Conditions for Reduction of Concentration Polarisation in Reverse Osmosis Channels. Computers & Chemical Engineering 98: 31–49.

12.  Zhang X.N., Bao J.*, Wang R.G., Zheng C.X., Skyllas-Kazacos M. (2016) Dissipativity Based Distributed Economic Model Predictive Control for Residential Microgrid with Renewable Energy Generation and Battery Energy Storage. Renewable Energy 100: 18–34.

13.  Zhang X.N., Li Y.F., Skyllas-Kazacos M., Bao J.* (2016) Optimal Sizing of Vanadium Redox Flow Battery for Residential Applications Based on Battery Electrochemical Characteristics. Energies 9:857-876.

14.  Skyllas-Kazacos M.*, McCann J., Li Y.F., Tang, A. and Bao J. (2016) The Mechanism and Modelling of Shunt Current in the Vanadium Redox Flow Battery. ChemistrySelect 1: 2249-2256.

15.  Yan Y.T., Li Y.F., Skyllas-Kazacos M.* and Bao J. (2016) Modelling and Simulation of Thermal Behaviour of Vanadium Redox Flow Battery. Power Sources 322:116-128.

16.  Tan C.K., Tippett M.J. and Bao J.* (2016) Model Predictive Control with Non-uniformly Spaced Optimization Horizon for Multi-timescale Processes. Computers & Chemical Engineering 84: 162-170.

17.  Li Y.F., Skyllas-Kazacos M. and Bao J. (2016) A Dynamic Plug Flow Reactor Model for a Vanadium Redox Flow Battery Cell. Power Sources 311: 57–67.

18.  Ratnayake P., Setiawan R., Bao J.*, Fimbres Weihs G.A., Wiley D.E. (2016) Spatio-temporal Frequency Response Analysis of Forced Slip Velocity Effect on Solute Concentration Oscillations in a Reverse Osmosis Membrane Channel. Computers & Chemical Engineering 84: 151-161.

19.  Zheng C.X., Tippett M.J., Bao J.* and Liu J.F. (2015) Dissipativity-based Distributed Model Predictive Control with Low Rate Communication. AIChE Journal 61: 3288–3303.

20.  Tippett M.J. and Bao J.* (2015) Reconfigurable Distributed Model Predictive Control. Chemical Engineering Science, 136: 2-19.

21.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J.  (2015) Spatial Thermal Condition in Aluminum Reduction Cells under Influences of Electrolyte Flow. Chemical Engineering Research & Design, 100: 1-14.

22.  Tan C.K., Setiawan R., Bao J.* and Bickert G. (2015) Studies on Parameter Estimation and Model Predictive Control of Paste Thickeners. Journal of Process Control 28: 1-8

23.  Ratnayake P., Setiawan R., Bao J.* (2015) Analysis of Flow Control by Boundary Layer Manipulation using 2D Frequency Response. Asia-Pacific Journal of Chemical Engineering 10: 512–525.

24.  Tippett M.J. and Bao J.* (2015) Distributed Control of Chemical Process Networks. International Journal of Automation and Computing 12(4): 368-381

25.  Wang R.G., Tippett M.J. and Bao J.* (2015) Fast Wavelet Based Model Predictive Control of Differentially Flat Systems. Processes 3(1): 161-177

26.  Setiawan R., Ratnayake P., Bao J.*, Fimbres Weihs G.A., Wiley D.E. (2015) Reduced-Order Model for the Analysis of Mass Transfer Enhancement in Membrane Channel using Electro-osmosis. Chemical Engineering Science 122: 86–96.

27.  Tippett M.J. and Bao J.* (2014) Multi-rate Dissipativity Based Control of Process Networks. Journal of Process Control 24 (10): 1579-1595.

28.  Tippett M.J. and Bao J.* (2014) Dissipative Control of Plant-wide Process Systems using Dynamic Supply Rates. Automatica 50 (1): 44-52.

29.  Cai X., Tippett M.J., Xie L.* and Bao J.* (2014) Fast distributed MPC based on active set method. Computers & Chemical Engineering 71: 158-170.

30.  Tippett M.J. and Bao J.* (2014) Distributed Dissipative Model Predictive Control for Process Networks with Imperfect Communication. AIChE Journal 60(5): 1682–1699.

31.  Hioe D., Hudon N. and Bao J.* (2014) Decentralized Nonlinear Control of Process Networks based on Dissipativity - a Hamilton-Jacobi Equation Approach. Journal of Process Control 24 (3): 172–187.

32.  Tang A., Bao J. and Skyllas-Kazacos M.* (2014) Studies on pressure losses and flow rate optimization in vanadium redox flow battery. Journal of Power Sources 248 (15): 154–162.

33.  Ouyang H., Bao J.*, Fimbres W. and Wiley D.E. (2013) Control Study on Mixing Enhancement in Boundary Layers of Membrane Systems. Journal of Process Control 23:1197-1204.

34.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2013) Characterization of Individual Anode Current Signals in Aluminium Reduction Cells. Industrial & Engineering Chemistry Research 52: 9632-9644.

35.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2013) Collective Dynamics Modelling of Polydisperse Particulate Systems via Markov Chains. Chemical Engineering Research and Design, 91:1646–1659.

36.  Tang A., McCann J., Bao J., Skyllas-Kazacos M.* (2013) Investigation of the effect of shunt current on battery efficiency and stack temperature in vanadium redox flow battery. Journal of Power Sources, 242:349-356.

37.  Tippett M.J. and Bao J.* (2013) Dissipativity Based Distributed Control Synthesis. Journal of Process Control 23: 755– 766.

38.  Hioe D., Bao J.* and Hudon N. (2013) Interaction Analysis and Geometric Interconnection Decoupling for Network of Process Systems. AIChE Journal  59 (8): 2795-2809.

39.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2013) Spatial Temperature Profiles in an Aluminium Reduction Cell under Different Anode Current Distributions. AIChE Journal 59: 1544–1556.

40.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2013) Modelling Collective Dynamics of Particulate Systems under Time-varying Operating Conditions based on Markov Chains. Advanced Powder Technology 24: 451-458.

41.  Hioe D., Bao J.* and Ydstie B.E. (2013) Dissipativity Analysis for Networks of Process Systems. Computers & Chemical Engineering 50: 207-219.

42.  Tippett M.J. and Bao J.* (2013) Distributed Model Predictive Control Based on Dissipativity. AIChE Journal 59: 787–804.

43.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2013) Analysis of Collective Dynamics of Particulate Systems Modelled by Markov Chains. Powder Technology 235: 228–237.

44.  Xu S.C. and Bao J.* (2012) Distributed Control of Plant-wide Chemical Processes with Uncertain Time-Delays. Chemical Engineering Science 84: 512–532.

45.  Hudon N. and Bao J.* (2012) Dissipativity-based Decentralized Control of Interconnected Nonlinear Chemical Processes. Computers & Chemical Engineering 45:  84-101.

46.  Tang A., Bao J. and Skyllas-Kazacos M.* (2012) Thermal modelling of battery configuration and self-discharge reactions in vanadium redox flow battery. Journal of Power Sources 216: 489-501.

47.  Santoso H., Hioe D., Bao J.* and Lee P.L. (2012) Operability Analysis of Nonlinear Processes based on Incremental Dissipativity. Journal of Process Control 22: 156–166.

48.  Setiawan R. and Bao J.* (2012) Plantwide Operability Assessment for Nonlinear Processes using a Microscopic Level Network Analysis. Chemical Engineering Research and Design, 90: 119–128.

49.  Tang A, Ting S, Bao J. and Skyllas-Kazacos M.* (2012) Thermal Modelling and Simulation of the All-Vanadium Redox Flow Battery. Journal of Power Sources 203: 165– 176.

50.  Yee K.W.K., Bao J. and Wiley D.E.* (2012) Dynamic Operability Analysis of an Industrial Membrane Separation Process. Chemical Engineering Science, 71: 85-96.

51.  Guo C.Y., Zhang W.D.* and Bao J. (2012) Robust Output Feedback H∞ Control for Networked Control Systems Based on the Occurrence Probabilities of Time Delays. International Journal of Systems Science, 43 (2): 259–271.

52.  McElroy L.P., Bao J.*, Jayasundara C., Yang R.Y. and Yu A.B. (2012) A Soft-Sensor Approach to Impact Intensity Prediction in Stirred Mills Guided by DEM Models. Powder Technology 219: 151–157.

53.  Tang A., Bao J. and Skyllas-Kazacos M.* (2011) Dynamic Modelling of the Effects of Ion Diffusion and Side Reactions on the Capacity Loss for Vanadium Redox Flow Battery. Journal of Power Sources 196, 10737– 10747.

54.  Xu S.C. and Bao J.* (2011) Plantwide Process Control with Asynchronous Sampling and Communications. Journal of Process Control 6,927-948.

55.  Setiawan R. and Bao J.* (2011) Analysis of Interaction Effects on Plantwide Operability.  Industrial & Engineering Chemistry Research 50, 8585–8602.

56.  Xu S.C. and Bao J.* (2010) Control of Chemical Processes via Output Feedback Controller Networks. Industrial & Engineering Chemistry Research 49, 7421–7445.

57.  Rojas O.J., Setiawan R., Bao J.* and Lee P.L. (2009) Dynamic Operability Analysis of Nonlinear Process Networks Based on Dissipativity. AIChE Journal 55(4): 963-982

58.  Xu S.C. and Bao J.* (2009) Distributed Control of Plantwide Chemical Processes. J. Process Control 19: 1671–1687.

59.  Yee K.W.K., Wiley D.E.* and Bao J. (2009) A Unified Model of the Time Dependence of Flux Decline for the Long-Term Ultrafiltration of Whey. Journal of Membrane Science 332(1-2): 69-80

60.  Santoso H., Bao J.* and Lee P.L. (2009) Operability Analysis of MTBE Reactive Distillation Column Using a Process Simulator.  Chemical Product and Process Modelling 4 (3), article 6

61.  McElroy L, Bao J.*, Yang RY and Yu AB (2009) Soft-sensors for prediction of impact energy in horizontal rotating drum. Powder Technology 195: 177–183

62.  Yee KWK, Alexiadis A, Bao J and Wiley DE* (2009) Effects of recycle ratios on process dynamics and operability of a whey ultrafiltration stage. Desalination 236(1-3): 216–223.

63.  McElroy L.P., Bao J.*, Yang R.Y. and Yu A.B. (2009) A Soft-Sensor Approach to Flow Regime Detection for Milling Processes. Powder Technology 188(3): 234-241.

64.  Santoso H., Bao J.* and Lee P.L. (2009) The Steady-State Region of Attraction under Linear Feedback Control: A Numerical Approach. Journal of Process Control 19(3): 464–472.

65.  Santoso H., Bao J.* and Lee P.L. (2008) Dynamic Operability Analysis for Stable and Unstable Linear Processes. Industrial & Engineering Chemistry Research  47(14): 4765–4774.

66.  Yang R.Y.*, Yu A.B., McElroy L. and Bao J. (2008) Numerical simulation of particle dynamics in different flow regimes in a rotating drum. Powder Technology 188:170–177.

67.  Xu S.C., Bao J.* (2008) Interaction Analysis for Decentralized Control Based on Dissipativity. Asia-Pacific Journal of Chemical Engineering 3(6): 656-666.

68.  Yee K.W.K., Alexiadis A., Bao J. and Wiley D.E. (2008) Effects of multiple-stage membrane process designs on the achievable performance of automatic control.  Journal of Membrane Science 320 (1/2): 280-291.

69.  Rojas O.J., Bao J.* and Lee P.L. (2008) On Dissipativity Passivity and Dynamic Operability of Nonlinear Processes. Journal of Process Control 18 (5): 515–526

70.  Bao J.*, Chan K.H., Zhang W.Z. and Lee P.L. (2007) An experimental pairing method for multi-loop control based on passivity. Journal of Process Control 17 (10): 787–798.

71.  Chan K.H. and Bao J.* (2007) Model Predictive Control of Hammerstein Systems with Multivariable Nonlinearities. Industrial & Engineering Chemistry Research 46 (1): 168-180.

72.  Rojas O.J., Bao J.* and Lee P.L. (2007) A Dynamic Operability Analysis Approach for Nonlinear Processes. Journal of Process Control 17 (2): 157–172.

73.  Yee K.W., Wiley D.E.* and Bao J. (2007) Whey protein concentrate production by continuous ultrafiltration: Operability under constant operating conditions. Journal of Membrane Science 290(1/2): 125–137.

74.  Alexiadis A., Wiley D.E.*, Fletcher D.F. and Bao J. (2007) Laminar Flow Transitions in a 2D Channel with Circular Spacers. Industrial & Engineering Chemistry Research 46(16): 5387 – 5396.

75.  Santoso H., Bao J. and Lee P.L. (2007) Passivity Based Dynamic Controllability Analysis for Multi-Unit Processes. Chemical Product and Process Modelling 2 (2): Article 7.

76.  Alexiadis A., Wiley D.E.*, Vishnoi A., Lee R.H.K., Fletcher D.F. and Bao J. (2007) CFD modelling of reverse osmosis membrane flow and validation with experimental results. Desalination 217: 242–250.

77.  Santoso H., Rojas O.J., Bao J.* and Lee P.L. (2007) Nonlinear Process Operability Analysis Based on Steady-state Simulation: A Case Study. Chemical Product and Process Modelling 2 (2): Article 6.

78.  Su S.W., Bao J.* and Lee P.L. (2006) A Hybrid Active-Passive Fault Tolerant Control Approach. Asia-Pacific Journal of Chemical Engineering 1 (1-2): 54-62.

79.  Rojas O.J., Bao J.* and Lee P.L. (2006) Linear control of nonlinear processes: the regions of steady-state attainability. Industrial & Engineering Chemistry Research 45 (22): 7552 -7565.

80.  Chan K.H., Bao J.* and Whiten W.J. (2006) Identification of MIMO Hammerstein Systems Using Cardinal Spline Functions. Journal of Process Control 16 (7): 659–670.

81.  Su S.W., Bao J.* and Lee P.L. (2006) Conditions on Input Disturbance Suppression for Multivariable Nonlinear Systems on the Basis of Feed Forward Passivity. International Journal of Systems Science 37 (4): 225–233.

82.  Yee K.W., Wiley D.E.* and Bao J. (2006) Steady state operability of whey ultrafiltration (UF) system. Desalination 199 (1-3): 497-498.

83.  Alexiadis A., Bao J., Fletcher D.F., Wiley D.E.* and Clements D.J. (2006) Dynamic response of a high pressure reverse osmosis membrane simulation to time dependent disturbances. Desalination 191 (1-3): 397–403.

84.  Su S.W., Bao J.*and Lee P.L. (2006) Decentralized Control for Multivariable Processes with Actuator Nonlinearities.  Dev. Chem. Eng. Mineral Process. 14 (1/2): 163-172.

85.  Chan K.H., Bao J.* and Whiten W.J. (2005) A New Approach to Control of MIMO Processes with Static Nonlinearities Using an Extended IMC Framework. Computers & Chemical Engineering 30 (2): 329–342.

86.  Zhang W.Z., Bao J.* and Lee P.L. (2005) Process Dynamic Controllability Analysis Based on All-Pass Factorization. Industrial & Engineering Chemistry Research 44 (18): 7175-7188.

87.  Alexiadis A., Bao J., Fletcher D.F., Wiley D.E.* and Clements D.J. (2005) Analysis of the Dynamic Response of a Reverse Osmosis Membrane to Time Dependent Transmembrane Pressure Variation. Industrial & Engineering Chemistry Research 44 (20): 7823-7834.

88.  Su S.W., Bao J.* and Lee P.L. (2005) Control of Multivariable Hammerstein Systems by Using Feedforward Passivation. Industrial & Engineering Chemistry Research 44 (4): 891-899

89.  Su S.W., Bao J.* and Lee P.L. (2004) Analysis of Decentralized Integral Controllability for Nonlinear Systems. Computers & Chemical Engineering 28 (9): 1781-1787.

90.  Bao J.*, Zhang W.Z. and Lee P.L. (2003) Decentralized Fault-tolerant Control System Design for Unstable Processes. Chemical Engineering Science 58 (22): 5045-5054.

91.  Zhang W.Z., Bao J.* and Lee P.L. (2003) Control Structure Selection Based on Block Decentralized Integral Controllability. Industrial & Engineering Chemistry Research 42 (21): 5152-5156.

92.  Bao J.*, Lee P.L., Wang F.Y. and Zhou W.B. (2003) Robust Process Control Based on the Passivity Theorem. Dev. Chem. Eng. Mineral Process 11 (3/4): 287-308.

93.  Bao J.*, McLellan P.J. and Forbes J.F. (2002) A Passivity-based Analysis for Decentralized Integral Controllability. Automatica, 38 (2): 243-247.

94.  Zhang W.Z., Bao J.* and Lee P.L. (2002) Decentralized Unconditional Stability Conditions Based on the Passivity Theorem for Multi-loop Control Systems. Industrial & Engineering Chemistry Research 41 (6): 1569-1578.

95.  Bao J.*, Zhang W.Z. and Lee P.L. (2002) Passivity-Based Decentralized Failure-Tolerant Control. Industrial & Engineering Chemistry Research 41 (23): 5702-5715

96.  Bao J., Lee P.L.*, Wang F.Y., Zhou W.B. and Samyudia Y. (2000) A New Approach to Decentralized Control Using Passivity and Sector Stability Conditions. Chemical Engineering Communications 182: 213-237.

97.  Bao J., Forbes J.F.* and McLellan P.J. (1999) Robust Multi-Loop PID Controller Design - A Successive Semi-Definite Programming Approach. Industrial & Engineering Chemistry Research 38 (9): 3407-3419.

98.  Bao J., Lee P.L.*, Wang F.Y. and Zhou W.B. (1998) New Robust Stability Criterion and Robust Controller Synthesis. International Journal of Robust Nonlinear Control 8 (1): 49-59.

§  REFEREED CONFERENCE PUBLICATIONS

1.     Wang R.G., Lei Q.Y. and Bao J.* (2017) A Behavior based Robust Fault Detection Approach for LTI Systems. Asian Control Conference, Gold Coast (accepted)

2.     Wang R.G., Tan C.K., Bao J.* and Hussain M.A. (2017) A Modified Moving Horizon Estimation Scheme for Multi-timescale Chemical Processes. Australasian Control Conference, Gold Coast (accepted)

3.     Wang R.G. and Bao J.* (2017) Advanced-step Nonlinear Model Predictive Control Based on Contraction Analysis. Proc. 20th World Congress of the International Federation of Automatic Control, Toulouse, pp9401-9406.

4.     Zheng C.X. and Bao J.* (2017) Robust Distributed Control for Plantwide Processes Based on Dissipativity in Quadratic Differential Forms. Proc. 6th International Symposium on Advanced Control of Industrial Processes, Taipei, pp7-12.

5.     Wang R.G. and Bao J.* (2016) Plantwide Analysis of Large-Scale Stochastic Linear Discrete-Time Systems. Proc. Australian Control Conference 2016, Newcastle, pp253-257.

6.     Zhang X.N., Wang R.G., Bao J.* and Skyllas-Kazacos M. (2016) Control of Distributed Energy Storage Systems in Residential Microgrids. Proc. Australian Control Conference 2016, Newcastle, pp270-275.

7.     Zheng C.X., Bao J.* and Liu J.F. (2016) Robust Control of Plantwide Chemical Processes Based on Parameter Dependent Dissipativity. Proc. Australian Control Conference 2016, Newcastle, pp305-310.

8.     Lei Q.Y., Munir T., Bao J.* and Young B.R. (2016) Data-driven Plant-wide Fault Isolation Based on Dissipativity. Proc. CHEMECA 2016, Adelaide, Paper 3384600.

9.     Wang R.G. and Bao J.* (2016) Asymptotic Tracking of Periodic Operation Based on Control Contraction Metrics. Proc. 11th IFAC International Symposium on Dynamics and Control of Process Systems, Trondheim, pp574-578.

10.  Lei Q.Y., Munir T., Bao J.* and Young B.R. (2016) A Data-driven Fault Detection Method Motivated By Dissipativity Theory. Proc. 11th IFAC International Symposium on Dynamics and Control of Process Systems, Trondheim, pp717-722.

11.  Yao Y.C., Cheung C.Y., Bao J.*, Skyllas-Kazacos M., Welch B.J. and Akmetov S. (2016) Detection of Local Cell Conditions Based on Individual Anode Current Measurements. TMS Light Metals 2016, Nashville, pp595-600.

12.  Jassim A., Akmetov S., Welch B.J., Skyllas-Kazacos M., Bao J. and Yao Y.C. (2016) Studies on Anode Preheating Using Individual Anode Current Signals in Hall-Hιroult Reduction Cells. TMS Light Metals 2016 Nashville, pp623-628.

13.  Bao J.*  and Wang R.G. (2015) Distributed Plantwide Process Control based on Dissipativity. Proc. Australian Control Conference 2015, Gold Coast, pp16-20.

14.  Wang R.G. and Bao J.* (2015) Minimum Phase Characterization for Nonlinear Systems with Periodic Trajectories Using Differential Dissipativity. Proc. Australian Control Conference 2015 Gold Coast, pp131-133.

15.  Jassim A., Akmetov S., Welch B.J., Skyllas-Kazacos M., Bao J. and Yao Y.C. (2015) Studies on Background PFC and Current Distribution Using Individual Anode Signals in Aluminium Reduction Cells. Conference of International Committee for Study of Bauxite, Alumina & Aluminium (ICOSBA), Dubai, pp. 1-13.

16.  Wang R.G. and Bao J.* (2015) Decentralized Control of Polynomial Systems Using Differential Dissipativity. Proc. IEEE International Conference on Control Applications, Sydney, pp1416-1421.

17.  Lei Q.Y. and Bao J.* (2015) Dissipativity Based Fault Detection and Diagnosis. Proc. IEEE International Conference on Control Applications, Sydney, pp133-138.

18.  Ratnayake P. and Bao J.* (2015) Maximisation Of Fluid Mixing In 2D Channel Flows Using Non-Uniform Electro-Osmotic Fields. Proc. APCChE 2015 Congress Melbourne, Paper 3133615.

19.  Lei Q.Y. and Bao J.* (2015) Data Driven Fault Detection based on Dissipativity Properties.  Proc. APCChE 2015 Congress Melbourne, Paper 3126304.

20.  Tippett M.J., Zheng C.X., Bao J.* and Liu J.F. (2015) Dissipativity-based Analysis of Controller Networks with Reduced Rate Communication. 9th International Symposium on Advanced Control of Chemical Processes, Whistler, pp705-710.

21.  Wang R.G., Tippett M.J. and Bao J.* (2015) High-order Differential Dissipativity Analysis of Nonlinear Processes. 9th International Symposium on Advanced Control of Chemical Processes, Whistler, pp688-693.

22.  Jassim A., Akhmetov S., Welch B.J., Skyllas-Kazacos M., Bao J. and Yao Y.C. (2015) Studies on Background PFC Emission in Hall-Hιroult Reduction Cells using Online Anode Current Signals. TMS Light Metals 2015, Orlando, pp545-550

23.  Yao Y.C., Cheung C.Y., Bao J.* and Skyllas-Kazacos M., Welch B.J. (2015) Monitoring Local Alumina Dissolution in Aluminium Reduction Cells Using State Estimation. TMS Light Metals 2015, Orlando, pp577-582.

24.  Wang R.G., Tippett M.J. and Bao J.* (2014) Model Predictive Control of Differentially Flat Systems using Haar Wavelets. Australian Control Conference 2014, Canberra, pp182-187.

25.  Yao Y.C., Cheung C.Y., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2014) Process Monitoring in Aluminium Reduction Cells via State Estimation. 11th Australasian Aluminium Smelting Technology Conference, Dubai (Paper 33Th4)

26.  Jassim A., Akhmetov S., Welch B.J., Skyllas-Kazacos M., Bao J. and Yao Y.C. (2014) Studies Towards Balancing the Current in Smelting Cells. 11th Australasian Aluminium Smelting Technology Conference, Dubai, Paper 09M6.

27.  Tippett M.J., Lei Q.Y. and Bao J.* (2014) Dissipativity Based Fault Detection using Dynamic Supply Rates. Proc. CHEMECA 2014, Perth, Paper 1340.

28.  Ratnayake P., Setiawan R., and Bao J.* (2014) System Analysis of Boundary Layer Flow Control in Channel Flows based on 2D Frequency Response. Proc. CHEMECA 2014, Perth, Paper 1420.

29.  Tippett M.J., Tan C.K. and Bao J.* (2014) Non-Constant Prediction-Step for Processes with Multi-Scale Dynamics. Proc. International Federation of Automatic Control World Congress 2014, Cape Town, pp3068-3073.

30.  Setiawan R., Ratnayake P. and Bao J.* (2014) Mass/Heat Transfer Enhancement Model for Boundary Layer Control Design. Proc. International Federation of Automatic Control World Congress 2014, Cape Town, pp7025-7030.

31.  Setiawan R., Tan C.K., Bao J.* and Bickert G. (2013) Model Predictive Control of a Paste Thickener in Coal Handling and Preparation Plants. Proc. 10th IFAC International Symposium on Dynamics and Control of Process Systems, Mumbai, pp247-252.

32.  Tippett M.J. and Bao J.* (2013) Multi-Rate Dissipative Control of Large-Scale Systems. Proc. 10th IFAC International Symposium on Dynamics and Control of Process Systems, Mumbai, pp51-56.

33.  Hudon N.* and Bao J. (2013) Dissipative-based Dynamic State Feedback Design using a Geometric Decomposition. Proc. American Control Conference, Washington DC June 2013, pp4068-4073.

34.  Ratnayake P., Setiawan R., Bao J., Wiley D.E, Fimbres-Weihs G.A. (2013) Fourier Analysis of Mass Transfer Enhancement using Wall Forced Slip Velocity. 8th International Membrane Science & Technology Conference, Melbourne.

35.  Tippett M.J. and Bao J.* (2013) Distributed Model Predictive Control for Networks with Changing Topologies. Proc. Australian Control Conference 2013, Perth, pp427-434.

36.  Zheng C.X., Tippett M.J., Bao J.* and Liu J.F. (2013) Multirate Dissipativity-based Distributed MPC. Proc. Australian Control Conference 2013, Perth, pp325-330.

37.  Tan C.K., Setiawan R., Lei Q.Y., Bao J.* and Bickert G. (2013) Dynamic Modelling and Analysis of Sedimentation and Compression Mechanisms in a Paste Thickener. Proc. CHEMECA 2013, Brisbane, Paper 27106.

38.  Yao Y.C., Cheung C.Y., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2013) Modelling and Analysis of Current Distribution in Aluminium Reduction Cell. Proc. CHEMECA 2013, Brisbane, Paper 27010.

39.  Tippett M.J., Hioe D. and Bao J.* (2013) Integrated Approach to Identification and Control of Multivariable Processes based on Dissipativity. Proc. IFAC Workshop on Thermodynamic Foundations of Mathematical Systems Theory TFMST'2013, Lyon, pp54-59.

40.  Hudon N.*, Bao J. and Ydstie B.E. (2013) Geometric Construction of Mixed Potentials. Proc. IFAC Workshop on Thermodynamic Foundations of Mathematical Systems Theory TFMST'2013, Lyon, pp18-23.

41.  Tippett M.J., Zheng C.X. and Bao J.* (2013) Dissipativity based Analysis and Control of Process Networks with Varying Time Delay. Proc. 10th IEEE International Conference on Control & Automation (IEEE ICCA 2013), Hangzhou, pp318-323.

42.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2013) Modelling of time-dependent distributions of impact and kinetic energies of particulate systems. Proc. Powders and Grains 2013, Sydney, pp1242-1245.

43.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2013) Frequency response analysis of anode current signals as a diagnostic aid for detecting approaching anode effects in aluminium smelting cells. Proc. TMS Light Metals, San Antonio, TX, pp887-892.

44.  Hioe D. and Bao J.* (2012) Geometric Control Analysis of Large-Scale Systems: Application to Process Control Network, Australian Control Conference, Sydney, pp75-80.

45.  Hudon N., Tippett M.J. and Bao J.* (2012) Dissipativity-based Feedback Design for Interconnected Nonlinear Systems on Different Time Scales, Proc. Australian Control Conference, Sydney: pp24-29.

46.  Ouyang H., Bao J.*, Fimbres W. and Wiley D.E. (2012) Optimal Feedback Design for Mixing Enhancement in Boundary Layers of Membrane Systems, Australian Control Conference, Sydney: pp86-91.

47.  Tippett M.J., Bao J.* and Liu J.F. (2012) Plant-Wide Control of Chemical Systems Exhibiting Time-Scale Separation. Proc. CHEMECA 2012, Christchurch: Paper 118.

48.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2012) Modelling of Polydisperse Particulate Systems Collective Dynamics using a Stochastic Approach. Proc. CHEMECA 2012, Christchurch: Paper 506.

49.  Yao Y.C., Tippett M.J., Bao J.* and Bickert G. (2012) Dynamic Modelling of Industrial Thickeners for Control Design. Proc. CHEMECA 2012, Christchurch: Paper 162.

50.  Tjakra J.D., Bao J.*, Hudon N. and Yang R.Y. (2012) Studies of Particulate System Dynamics in Rotating Drums via Markov Chains. Proc. 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore: pp487-492.

51.  Hioe D.S and Bao J.* (2012) Dissipativity-Based Nonlinear Process Control. Proc. 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore: pp198-203.

52.  Tjakra J.D., Hudon N., Bao J.* and Yang R.Y. (2012) Dynamical Modelling of the Collective Dynamics of Particulate System Based on a DEMMarkov Chains Approach. Proc. Asian Particle Technology Symposium, Singapore: Paper 57.

53.  Tippett M.J. and Bao J.* (2012) A Unified Approach to Plant-wide Dissipative Model Predictive Control. Proc. 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore: pp420-425.

54.  Hudon N. and Bao J.* (2012) Dissipative Feedback Design for Nonlinear Systems with Structured Uncertainties. Proc. 20th International Symposium on the Mathematical Theory of Networks and Systems, Melbourne: Paper 0127.

55.  Tippett M.J. and Bao J.* (2012) Distributed Control of Large-Scale Systems based on Dissipativity with Quadratic Differential Forms. Proc. 20th International Symposium on the Mathematical Theory of Networks and Systems, Melbourne: Paper 0186.

56.  Tang A., Bao J.* and Skyllas-Kazacos M. (2012) Mathematical modelling and investigation of the thermal effect on the electrolyte temperature for vanadium redox flow batteries. Proc. International Flow Battery Forum 2012, Munich, pp40-41.

57.  Hudon N, Bao J.* and Ydstie B.E. (2012) Dissipativity-Based Nonlinear Decentralized Control Design. Proc. of Chemical Process Control VIII: Savannah, Georgia, Paper 47.

58.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2012) Impacts of Anode Set on the Energy re-distribution of PB Aluminum Smelting Cells. Proc. Light Metals 2012: Aluminium Reduction Technology, Orlando, Florida: 943-947.

59.  Xu SC and Bao J.* (2011) Distributed Control of Plantwide Chemical Processes with Uncertain Delays. Proc. 18th IFAC World Congress, Milano, Italy: 12072-12077.

60.  Tippett M.J. and Bao J.* (2011) Dissipativity Based Analysis Using Dynamic Supply Rates. Proc. 18th IFAC World Congress, Milano, Italy: 1319-1325.

61.  Hudon N. and Bao J.* (2011) Dissipativity Analysis for Control Affine Systems in Closed-Loop with Parameterized Jurdjevic–Quinn Feedback Controllers. Proc. Australian Control Conference, Melbourne: 278-283.

62.  Hioe D. and Bao J.* (2011) Dissipativity-Based Analysis for Plantwide Chemical Process Systems. Proc. Australian Control Conference, Melbourne: 428-433.

63.  Hudon N. and Bao J.* (2011) Control of Non-isothermal Chemical Reactors Based on a Potential Representation Presentation. Proc. CHEMECA 2011, Sydney: Paper 290.

64.  Hioe D. and Bao J.* (2011) Nonlinear Analysis for Chemical Processes Based on Incremental Dissipativity. Proc.  CHEMECA 2011, Sydney: Paper 524.

65.  Tippett M. and Bao J.* (2011) Coordination of Model Predictive Controllers for Plantwide Control. Proc. of CHEMECA 2011, Sydney: Paper 82.

66.  Cheung C.Y., Menictas C., Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2011) Dynamic Modelling Of An Operating Aluminium Reduction Cell. Proc. of CHEMECA 2011, Sydney: Paper 142.

67.  Tjakra D.J., Bao J.*, Hudon N., Yang R.Y. (2011) Characterization Of Drum Mixer Flow Regimes Using Markov Chains. Proc. CHEMECA 2011, Sydney: Paper 529.

68.  Cheung C.Y., Menictas C, Bao J.*, Skyllas-Kazacos M. and Welch B.J. (2011) Simulation of Local Cell Conditions in A Hall-Hιroult Process Based On Individual Anode Currents. Proc. 10th Australasian Aluminium Smelting Technology Conference, Launceston: Paper 4c3.

69.  Xu SC and Bao J.* (2010) Networked Plantwide Process Control with Asynchronous Communication and Control. Proc. 9th International Symposium on Dynamics and Control of Process Systems pp 86-90, Leuven, Belgium July 5-7 2010.

70.  Setiawan R, Hioe D and Bao J.* (2010) Plantwide Operability Analysis based on a Network Perspective: a Study on the Tennessee Eastman Process. Proc. 9th International Symposium on Dynamics and Control of Process Systems pp 437-442, Leuven, Belgium July 5-7 2010.

71.  Setiawan R and Bao J.* (2010) Dynamic Operability Analysis Of Nonlinear Processes Based On A Network View. Proc. CHEMECA 2010, Paper 234, Adelaide, September 2010. 

72.  Tran T. and Bao J.* (2010) Supervisory Stability Assurance Layer for Hierarchical Plant-wide Process Control. Proc. American Control Conference, pp4409-4414, Baltimore, June 30 - July 2, 2010

73.  Tran T. and Bao J.* (2009) A Real-Time Trajectory-Based Stability Constraint for Model Predictive Control. Proc. 7th IEEE International Conference on Control and Automation, New Zealand, pp2094-2099, New Zealand, December 9-11, 2009.

74.  Setiawan R., Bao J.*, Yee, K.W.K. (2009) Operability Analysis of a Multiple-stage Membrane Process based on Network Approach. Proc. 7th IEEE International Conference on Control and Automation, pp2054-2059, New Zealand, December 9-11, 2009

75.  Xu S.C. and Bao J.* (2009) Multirate Networked Control of Plantwide Chemical Processes. Proc. 7th IEEE International Conference on Control and Automation, pp942-947, New Zealand, December 9-11, 2009.

76.  Xu S.C. and Bao J.* (2009) Networked Control of Plantwide Chemical Processes. Proc. Asian Control Conference, pp 859-864, Hong Kong Aug 27-29 2009.

77.  Setiawan R. and Bao J.* (2009) Operability Analysis of Chemical Process Network based on Dissipativity.  Proc. Asian Control Conference, pp 847-852, Hong Kong Aug 27-29 2009.

78.  K. W. K. Yee, Bao J. and D. E. Wiley* (2008) Effects of long-term membrane fouling on the dynamic operability of an industrial whey ultrafiltration process. Proceedings ICOM 2008, July 12 – 18, Honolulu, Hawaii USA

79.  Santoso H., Bao J.* and Lee P.L. (2008) Nonlinear Dynamic Operability Analysis of Methyl Tertiary Butyl Ether Reactive Distillation Column. CHEMECA 2008

80.  McElroy L., Bao J.*, Yang R.Y. and Yu A.B. (2008) Soft Sensor Development for Estimating Impact Intensity in Horizontal Rotating Drums. CHEMECA 2008

81.  Setiawan R., Bao J.*, Osvaldo J. Rojas, Peter L. Lee (2008) Operability Analysis for Process Systems with Recycle and Bypass Streams. Proc. International Federation of Automatic Control World Congress, Seoul.

82.  Rojas O.J., Setiawan R., Bao J.* and Lee P.L. (2007) Interaction Analysis for Process System Networks. Proc. CHEMECA 2007, Melbourne (ISBN 0 858 25844 7): 1401-1409.

83.  Santoso H., Bao J.*, Kho Y.K. and Lee P.L. (2007) Passivity Based Operability Analysis for Unstable Processes. Proc. CHEMECA 2007, Melbourne (ISBN 0 858 25844 7): 1410-1417.

84.  McElroy L., Bao J.*, Yang R.Y. and Yu A.B. (2007) Development of Soft Sensors for Flow Pattern Detection Guided by Discrete Element Models. Proc. CHEMECA 2007, Melbourne (ISBN 0 858 25844 7): 485-493.

85.  Yang R.Y.*, Yu A.B., McElroy L. and Bao J. (2007) Numerical simulation of particle dynamics in different flow regimes in a rotating drum. Proc. 9th International Conference on Bulk Materials Storage Handling and Transportation Newcastle. Paper 131.

86.  Bao J.*, Jillson K.R. and Ydstie B.E. (2007) Passivity Based Control of Process Networks. Proc. 8th International IFAC Symposium on Dynamics and Control of Process Systems Cancun: Vol (3): 67-72.

87.  Chen P.Y., Zhang W.D.* and Bao J. (2007) Analytical Design and Tuning Method of Multivariable controller for Multi-input-Multi-output (MIMO) Processes. Proc. American Control Conference New York: 651-656.

88.  Santoso,H., Bao J.*, Lee P.L. and Rojas O.J. (2006) Dynamic Controllability Analysis for Multi-Unit Processes. Proc Chemeca 2006, Auckland, Paper 252 (ISBN 0-86869-110-0).

89.  Santoso H., Rojas O.J., Bao J.* and Lee P.L. (2006) Regions of Steady-State Attainability for Nonlinear Processes: A Case Study. Proc Chemeca 2006, Auckland, Paper 215 (ISBN 0-86869-110-0).

90.  Chan, K.H., Xu, S.C. and Bao J.* (2006) A New Experimental Procedure for Nonlinear Process Modelling. Proc Chemeca 2006, Auckland, Paper 425 (ISBN 0-86869-110-0).

91.  Suryodipuro, A.D., Bao J.* and Lee, P.L. (2005) Controller Structure Selection based on Achievable Dynamic Performance. Proc. Chemeca 2005, Brisbane: Paper 97 (ISBN 1864998326)

92.  Su S.W., Bao J.* and Lee P.L. (2004) Decentralized Control for Multivariable Processes with Actuator/sensor Nonlinearities. Proc. Chemeca 2004, Sydney, Paper 100 (ISBN 1877040126).

93.  Suryodipuro A.D., Bao J.* and Lee P.L. (2004) Process Controllability Analysis Based on Passivity Condition. Proc. Chemeca 2004, Sydney, Paper 81 (ISBN 1877040126).

94.  Chan K.H., Bao J.* and Whiten W.J. (2004) Control of Discrete-Time Hammerstein Systems Based on the Passivity Theorem. Proc. 5th Asian Control Conference, Melbourne: 976-981 (ISBN: 0734030169, IEEE catalogue number 04EX904C)

95.  Su S.W., Bao J.* and Lee P.L. (2004) Passivity Based IMC Control for Multivariable Nonlinear Systems. Proc. 5th Asian Control Conference, Melbourne (ISBN: 0734030169, IEEE catalogue number 04EX904C): pp135-140.

96.  Chan, K.H., Bao J.* and Whiten, W.J. (2003) Multi-loop Digital PI Control Design on the Basis of the Passivity Theorem. Proc. Chemeca 2003, Adelaide, Paper 138.

97.  Zhang W.Z., Bao J.* and Lee P.L. (2003) Pairing Studies of Multivariable Processes under Block Decentralized Control. Proc. Chemeca 2003, Adelaide, Paper 241.

98.  Vagi, C., Safinski, T., Bao J.* and Adesina A.A. (2003) Investigation of the Dynamics of a Continuous Liquid Flow Bubble Column via Laser Absorption. Proc. Chemeca 2003, Adelaide, Paper 120.

99.  Bao J.*, Zhang W.Z. and Lee P.L. (2002) A New Paring Method for Multi-loop Control Based on the Passivity Theorem. Proc. International Symposium on Advanced Control of Industrial Processes, Kumamoto: 545-550.

100.     Zhang W.Z., Bao J.* and Lee P.L. (2002) Synthesis of Strictly Positive Real / H-infinity Controllers Using a Linear Matrix Inequality Approach. Proc. International Symposium on Advanced Control of Industrial Processes, Kumamoto: 275-279.

101.     Bao J.* (2002) A Successive Semi-Definite Programming Approach to Designing of Controllers with Structure Constraints. Proc. 9th APCChE Conference, Christchurch: Paper 529, (CDROM).

102.     Zhang W.Z., Bao J..* and Lee P.L. (2002) A New Approach to Fault-tolerant Control for Unstable. Proc. 9th APCChE Conference, Christchurch: Paper 533 (CDROM).

103.     Zhang W.Z., Bao J.* and Lee P.L. (2001) Passivity-based Decentralized Failure-tolerant Control Synthesis. Proc. 6th World Congress of Chemical Engineering, Melbourne: Paper 368 (CDROM).

104.     Bao J.*, Zhang W.Z. and Lee P.L. (2000) A Passivity-based Approach to Multi-loop PI controller Tuning. Proc. Sixth International Conference on Control, Automation, Robotics and Vision, Singapore: Paper 178 (CDROM).

105.     Bao J., Forbes J.F. * and McLellan P.J. (2000) Toward a Systematic Approach to Control system Benefits Analysis, Proc. Control Systems 2000, pp 1-4, Victoria, Canada.

106.     Bao J.*, Forbes J.F. and McLellan P.J. (1999) Tuning Method for Multi-loop PID Controllers using Semi-Definite Programming. Proc. Chemeca 99, Newcastle: Paper 78 (CDROM) (Australia).

107.     Bao J.*, Wang F.Y., Lee P.L., and Zhou W.B. (1997) A New Passivity-Based Interaction Measure for Decentralized Process Control. Proc. Control 97, Sydney: pp443-448.

108.     Bao J.*, Lee P.L., Wang F.Y. and Zhou W.B. (1997) A New Passivity Theorem-Based Linear Robust Control. Proc. Asian Control Conference, Seoul: Vol 3, pp51-54.

109.     Bao J.*, Wang F.Y., Lee P.L., and Zhou W.B. (1996) New Frequency-Domain Phase-Related Properties of MIMO LTI Passive Systems and Robust Controller Synthesis. Proc. IFAC 13th Triennial World Congress, San Francisco: pp405-410.

§  INVITED/KEYNOTE PRESENTATIONS

1.            Bao J. (2016) Plantwide Control using a Network of Autonomous Controllers – A Dissipativity Theory Approach. Chinese Process Control Conference, Lanzhou.

2.            Bao J. (2014) Plantwide Process Control by Distributed Controller Networks – A Dissipativity Theory Approach. CHEMECA 2014, Perth.

3.            Bao J. (2014) Monitoring the Operation of Aluminium Smelter Cells using Individual Anode Current Measurements. High Temperature Processing Symposium 2014, Melbourne.

4.            Bao J. et. al.  (2012) Studies of Particulate System Dynamics in Rotating Drums via Markov Chains. 8th IFAC Symposium on Advanced Control of Chemical Processes, Singapore.

5.            Bao J. (2012) Plant-wide Control: Challenges and Developments. Process Control & Design in Mining 2012, Brisbane.

 


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