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Books

Bao J; Lee PL, 2007, Process Control: The Passive Systems Approach, SPRINGER-VERLAG LONDON LTD, http://dx.doi.org/10.1007/978-1-84628-893-7

Book Chapters

Ma L; Wong CJ; Bao J; Skyllas-Kazacos M; Shi J; Ahli N; Aljasmi A; Mahmoud M, 2024, 'Estimation of the Spatial Alumina Concentration of an Aluminium Smelting Cell Using a Huber Function-Based Kalman Filter', in , pp. 464 - 473, http://dx.doi.org/10.1007/978-3-031-50308-5_59

Wong CJ; Bao J; Skyllas-Kazacos M; Welch B; Shi J; Ahli N; Aljasmi A; Mahmoud M; Mustafa M, 2024, 'Predicting Electrolyte and Liquidus Temperatures of Aluminium Smelting Cells for Power Modulation Using Dynamic Model', in , pp. 445 - 452, http://dx.doi.org/10.1007/978-3-031-50308-5_57

Bao J; Yan Y, 2023, 'Dynamic Modelling of Vanadium Flow Batteries for System Monitoring and Control', in Roth C; Noack J; Skyllas-Kazacos M (ed.), Flow Batteries, From Fundamentals to Applications, Wiley-VCH, pp. 443 - 462, http://dx.doi.org/10.1002/9783527832767

Ma L; Wong CJ; Bao J; Skyllas-Kazacos M; Welch BJ; Ahli N; Mahmoud M; Nikandrov K; Aljasmi A, 2023, 'A Dynamic Coupled Mass and Thermal Model for the Top Chamber of the Aluminium Smelting Cells', in , pp. 67 - 76, http://dx.doi.org/10.1007/978-3-031-22532-1_9

Wong CJ; Shi J; Bao J; Welch BJ; Skyllas-Kazacos M; Jassim A; Mahmoud M; Nikandrov K, 2023, 'A Smart Individual Anode Current Measurement System and Its Applications', in , pp. 43 - 51, http://dx.doi.org/10.1007/978-3-031-22532-1_6

Wong CJ; Bao J; Skyllas-Kazacos M; Jassim A; Mahmoud M; Arkhipov A, 2023, 'Monitoring Cell Conditions and Anode Freeze Dissolution with Model-Based Soft Sensor After Anode Change', in , pp. 87 - 94, http://dx.doi.org/10.1007/978-3-031-22532-1_11

Bao J; Xu S, 2012, 'Plant-wide Control via a Network of Autonomous Controllers', in Rangaiah GP; Kariwala V (ed.), Plantwide Control, John Wiley & Sons, United Kingdom, pp. 387 - 416, http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470980141.html

Journal articles

Han S; Yan Y; Bao J; Huang B, 2024, 'A big data-driven predictive control approach for nonlinear processes using behaviour clusters', Journal of Process Control, 140, http://dx.doi.org/10.1016/j.jprocont.2024.103252

Tang JW; Yan Y; Bao J; Huang B, 2024, 'Data-predictive Control of Multi-Timescale Nonlinear Processes', IFAC-PapersOnLine, 58, pp. 109 - 114, http://dx.doi.org/10.1016/j.ifacol.2024.08.322

Yan Y; Bao J; Huang B, 2024, 'Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis', IEEE Transactions on Automatic Control, 69, pp. 2899 - 2914, http://dx.doi.org/10.1109/TAC.2023.3298281

Yan Y; Bao J; Huang B, 2024, 'An Approach to Data-Based Linear Quadratic Optimal Control', IEEE Control Systems Letters, 8, pp. 1120 - 1125, http://dx.doi.org/10.1109/LCSYS.2024.3409369

Shi J; Wong CJ; Bao J; Skyllas-Kazacos M; Welch BJ; Jassim A; Mustafa M; Nikandrov K; Mahmoud M, 2023, 'Advanced Monitoring and Control of Alumina Concentration in Aluminum Smelting Cells', IFAC-PapersOnLine, 56, pp. 6194 - 6199, http://dx.doi.org/10.1016/j.ifacol.2023.10.736

Shu B; Skyllas-Kazacos M; Bao J; Meng K, 2023, 'Hybrid Cooling-Based Thermal Management of Containerised Vanadium Flow Battery Systems in Photovoltaic Applications', Processes, 11, pp. 1431, http://dx.doi.org/10.3390/pr11051431

Yan Y; Bao J; Huang B, 2023, 'On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise', IEEE Transactions on Automatic Control, 69, pp. 2414 - 2421, http://dx.doi.org/10.1109/TAC.2023.3305191

Wong CJ; Bao J; Skyllas-Kazacos M; Welch B; Mahmoud M; Arkhipov A; Ahli N, 2023, 'Studies on Power Modulation of Aluminum Smelting Cells Based on a Discretized Mass and Thermal Dynamic Model', Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science, 54, pp. 562 - 577, http://dx.doi.org/10.1007/s11663-022-02709-w

Shu B; Weber LS; Skyllas-Kazacos M; Bao J; Meng K, 2023, 'Thermal Modelling and Simulation Studies of Containerised Vanadium Flow Battery Systems', Batteries, 9, pp. 196, http://dx.doi.org/10.3390/batteries9040196

Bao J; Durand H; Jogwar SS; Liu J; Young BR; Zhu Q, 2023, 'Editorial: Special issue on Modeling, control and monitoring of process systems in the era of big data', Digital Chemical Engineering, 6, http://dx.doi.org/10.1016/j.dche.2022.100068

McCloy R; Wei L; Bao J, 2023, 'A contraction-constrained economic Model Predictive Control for nonlinear processes using multi-timescale models', Journal of Process Control, 122, pp. 199 - 207, http://dx.doi.org/10.1016/j.jprocont.2023.01.001

Li W; Yan Y; Bao J, 2023, 'Data-Based Fault Diagnosis via Dissipativity-Shaping', IEEE Control Systems Letters, 7, pp. 484 - 489, http://dx.doi.org/10.1109/LCSYS.2022.3193978

Tang JW; Yan Y; Bao J; Huang B, 2023, 'Multi-level data-predictive control for linear multi-timescale processes with stability guarantee', Journal of Process Control, 130, pp. 103083, http://dx.doi.org/10.1016/j.jprocont.2023.103083

Wei L; McCloy R; Bao J; Cranney J, 2022, 'Discrete-time contraction constrained nonlinear model predictive control using graph-based geodesic computation', AIChE Journal, 68, http://dx.doi.org/10.1002/aic.17830

Wei L; McCloy R; Bao J, 2022, 'Discrete-time contraction-based control of nonlinear systems with parametric uncertainties using neural networks', Computers and Chemical Engineering, 166, pp. 107962, http://dx.doi.org/10.1016/j.compchemeng.2022.107962

Wei L; McCloy R; Bao J, 2022, 'Contraction analysis and control synthesis for discrete-time nonlinear processes', Journal of Process Control, 115, pp. 58 - 66, http://dx.doi.org/10.1016/j.jprocont.2022.04.016

Zhao M; Yan Y; Bao J; Wang W, 2022, 'Data predictive control of nonlinear process feature dynamics through latent variable behaviours', Computers and Chemical Engineering, 163, pp. 107857, http://dx.doi.org/10.1016/j.compchemeng.2022.107857

McCloy R; Li Y; Bao J; Skyllas-Kazacos M, 2022, 'Electrolyte flow rate control for vanadium redox flow batteries using the linear parameter varying framework', Journal of Process Control, 115, pp. 36 - 47, http://dx.doi.org/10.1016/j.jprocont.2022.04.021

Li Y; Bao J; Chen T; Yu A; Yang R, 2022, 'Prediction of ball milling performance by a convolutional neural network model and transfer learning', Powder Technology, 403, http://dx.doi.org/10.1016/j.powtec.2022.117409

Shi J; Yao Y; Bao J; Skyllas-Kazacos M; Welch BJ; Jassim A; Mahmoud M, 2022, 'Advanced Model-Based Estimation and Control of Alumina Concentration in an Aluminum Reduction Cell', JOM, 74, pp. 706 - 717, http://dx.doi.org/10.1007/s11837-021-05073-3

Li Y; Bao J; Yu A; Yang R, 2021, 'ANN prediction of particle flow characteristics in a drum based on synthetic acoustic signals from DEM simulations', Chemical Engineering Science, 246, http://dx.doi.org/10.1016/j.ces.2021.117012

Wong CJ; Yao Y; Bao J; Skyllas-Kazacos M; Welch BJ; Jassim A; Mahmoud M; Arkhipov A, 2021, 'Modelling of Coupled Mass and Thermal Balances in Hall-Heroult Cells during Anode Change', Journal of the Electrochemical Society, 168, pp. 123506, http://dx.doi.org/10.1149/1945-7111/ac41f6

Li W; Zhuo Y; Bao J; Shen Y, 2021, 'A data-based soft-sensor approach to estimating raceway depth in ironmaking blast furnaces', Powder Technology, 390, pp. 529 - 538, http://dx.doi.org/10.1016/j.powtec.2021.05.072

Li Y; Sun L; Cao L; Bao J; Skyllas-Kazacos M, 2021, 'Dynamic model based membrane permeability estimation for online SOC imbalances monitoring of vanadium redox flow batteries', Journal of Energy Storage, 39, pp. 102688, http://dx.doi.org/10.1016/j.est.2021.102688

Wei L; McCloy R; Bao J, 2021, 'Control contraction metric synthesis for discrete-time nonlinear systems', IFAC-PapersOnLine, 54, pp. 661 - 666, http://dx.doi.org/10.1016/j.ifacol.2021.08.317

Xiao G; Yan Y; Bao J; Liu F, 2021, 'Robust distributed economic model predictive control based on differential dissipativity', AIChE Journal, 67, http://dx.doi.org/10.1002/aic.17198

Li Y; Bao J; Yu A; Yang R, 2021, 'A combined data-driven and discrete modelling approach to predict particle flow in rotating drums', Chemical Engineering Science, 231, http://dx.doi.org/10.1016/j.ces.2020.116251

Shi J; Yao Y; Bao J; Skyllas-Kazacos M; Welch BJ; Jassim A; Mahmoud M, 2021, 'A new control strategy for the aluminum reduction process using economic model predictive control', IFAC-PapersOnLine, 54, pp. 49 - 54, http://dx.doi.org/10.1016/j.ifacol.2021.10.049

McCloy R; Bao J, 2021, 'Contraction-based Control of Switched Nonlinear Systems using Dwell Times and Switched Contraction Metrics', IEEE Control Systems Letters, 6, pp. 1382 - 1387, http://dx.doi.org/10.1109/LCSYS.2021.3097044

McCloy RJ; Wang R; Bao J, 2021, 'Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems', Journal of Process Control, 97, pp. 45 - 58, http://dx.doi.org/10.1016/j.jprocont.2020.11.007

Wong CJ; Yao Y; Bao J; Skyllas-Kazacos M; Welch BJ; Jassim A; Mahmoud M, 2021, 'Discretized thermal model of Hall-Héroult cells for monitoring and control', IFAC-PapersOnLine, 54, pp. 67 - 72, http://dx.doi.org/10.1016/j.ifacol.2021.10.052

Li W; Yan Y; Bao J, 2020, 'Dissipativity-based distributed fault diagnosis for plantwide chemical processes', Journal of Process Control, 96, pp. 37 - 48, http://dx.doi.org/10.1016/j.jprocont.2020.10.007

Liu Y; Zeng J; Bao J; Xie L, 2020, 'A Unified Probabilistic Monitoring Framework for Multimode Processes Based on Probabilistic Linear Discriminant Analysis', IEEE Transactions on Industrial Informatics, 16, pp. 6291 - 6300, http://dx.doi.org/10.1109/TII.2020.2966707

Wang R; Bao J, 2019, 'A differential Lyapunov-based tube MPC approach for continuous-time nonlinear processes', Journal of Process Control, 83, pp. 155 - 163, http://dx.doi.org/10.1016/j.jprocont.2018.11.006

Yan Y; Wang R; Bao J; Zheng C, 2019, 'Robust distributed control of plantwide processes based on dissipativity', Journal of Process Control, 77, pp. 48 - 60, http://dx.doi.org/10.1016/j.jprocont.2019.02.002

Akter MP; Li Y; Bao J; Skyllas-Kazacos M; Rahman MF, 2019, 'Optimal charging of vanadium redox flow battery with time-varying input power', Batteries, 5, http://dx.doi.org/10.3390/batteries5010020

Li Y; Bao J; Skyllas-Kazacos M; Akter MP; Zhang X; Fletcher J, 2019, 'Studies on dynamic responses and impedance of the vanadium redox flow battery', Applied Energy, 237, pp. 91 - 102, http://dx.doi.org/10.1016/j.apenergy.2019.01.015

Wang R; Bao J; Yao Y, 2019, 'A data-centric predictive control approach for nonlinear chemical processes', Chemical Engineering Research and Design, 142, pp. 154 - 164, http://dx.doi.org/10.1016/j.cherd.2018.12.002

Wang R; Zhang X; Bao J, 2019, 'A self-interested distributed economic model predictive control approach to battery energy storage networks', Journal of Process Control, 73, pp. 9 - 18, http://dx.doi.org/10.1016/j.jprocont.2018.11.003

Ratnayake P; Chandratilleke R; Bao J; Shen Y, 2018, 'A soft-sensor approach to mixing rate determination in powder mixers', Powder Technology, 336, pp. 493 - 505, http://dx.doi.org/10.1016/j.powtec.2018.06.022

Yao Y; Bao J; Skyllas-Kazacos M; Welch BJ; Akhmetov S, 2018, 'Fault Detection and Diagnosis In Hall–Héroult Cells Based on Individual Anode Current Measurements Using Dynamic Kernel PCA', Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science, 49, pp. 2077 - 2088, http://dx.doi.org/10.1007/s11663-018-1254-3

Zhang X; Wang R; Bao J, 2018, 'A novel distributed economic model predictive control approach for building air-conditioning systems in microgrids', Mathematics, 6, http://dx.doi.org/10.3390/math6040060


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