By Professor Jie Bao

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, Wiley, pp. 443 - 461, http://dx.doi.org/10.1002/9783527832767.ch19

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

Jassim A; Akhmetov S; Welch B; Skyllas-Kazacos M; Bao J; Yao Y, 2016, 'Studies on Anode Pre-Heating Using Individual Anode Signals in Hall-Héroult Reduction Cells', in Light Metals 2016, pp. 623 - 628, http://dx.doi.org/10.1007/978-3-319-48251-4_105

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

Qiu R; Yan Y; Shao Z; Bao J, 2026, 'A multi-priority NMPC framework with adaptive convergence rate tuning strategy', Journal of Process Control, 166, http://dx.doi.org/10.1016/j.jprocont.2026.103805

Chen H; Li W; Bao J; Shen Y, 2026, 'Multi-scale error-triggered latent assimilation for reduced-order digital twins of gas–solid flow reactors', Chemical Engineering Journal, 545, http://dx.doi.org/10.1016/j.cej.2026.179496

Han S; Yan Y; Bao J; Huang B, 2026, 'Big data-driven predictive control for nonlinear systems based on kernel density estimation of data trajectories', Computers and Chemical Engineering, 207, http://dx.doi.org/10.1016/j.compchemeng.2026.109565

Li W; Wu L; Xiao X; Xiao W; Bao J, 2026, 'APL-VIO: Real-Time Visual-Inertial Odometry Using Adaptive Point-Line Features', IEEE Transactions on Instrumentation and Measurement, 75, http://dx.doi.org/10.1109/TIM.2026.3714602

Xie J; Huang B; Bao J, 2026, 'Data-Driven Min-Max Moving Horizon Estimation', IEEE Transactions on Automatic Control, http://dx.doi.org/10.1109/TAC.2026.3730322

Zhang H; Li W; Bao J; Liu F, 2026, 'Distributed set-membership estimation for Markov jump linear systems with uncertain transition probabilities', Journal of Process Control, 157, http://dx.doi.org/10.1016/j.jprocont.2025.103613

Li W; Feng Y; Hu Y; Wu L; Wei G; Bao J, 2026, 'Performance-Driven Consensus-Based Distributed Bayesian Filtering Over Switching Topologies', IEEE Systems Journal, http://dx.doi.org/10.1109/JSYST.2026.3694762

Han S; Yan Y; Bao J; Huang B, 2026, 'TraCPro-BDPC: Trajectory Cluster-Based Probabilistic Big Data-Driven Predictive Control for Nonlinear Processes', IEEE Control Systems Letters, 10, pp. 583 - 588, http://dx.doi.org/10.1109/LCSYS.2026.3701399

Liao Y; Wei L; Skyllas-Kazacos M; Bao J, 2026, 'Modelling, experimental validation and control of shunt pipe electrolyte rebalancing for vanadium flow batteries', Applied Energy, 423, pp. 128420 - 128420, http://dx.doi.org/10.1016/j.apenergy.2026.128420

Wong C-J; Larkin AA; Bao J; Skyllas-Kazacos M; Welch BJ; Ahli N; Faraj M; Mahmoud M, 2026, 'Optimisation of power modulation for Hall-Héroult cells: Process operability and constraints as virtual energy storage', Journal of Energy Storage, 178, pp. 123594 - 123594, http://dx.doi.org/10.1016/j.est.2026.123594

Chen H; Li W; Bao J; Shen Y, 2025, 'Reduced-order estimator with error-triggered data assimilation correction: Towards a digital twin of gas–solid flow reactors', Chemical Engineering Journal, 526, http://dx.doi.org/10.1016/j.cej.2025.171017

Ma L; Li W; Wong CJ; Bao J; Skyllas-Kazacos M; Welch B; Ahli N; Faraj M; Mahmoud M, 2025, 'H∞-Extended Kalman filter for the aluminium smelting process with boundness analysis of the estimation error matrix', Control Engineering Practice, 164, http://dx.doi.org/10.1016/j.conengprac.2025.106500

Li W; Bao J, 2025, 'A New Perspective on Fault Detection and Diagnosis for Plantwide Systems in the Era of Smart Process Manufacturing', Engineering, 52, pp. 19 - 24, http://dx.doi.org/10.1016/j.eng.2025.08.006

Shu B; Wei L; Bao J; Meng K; Skyllas-Kazacos M, 2025, 'Electrical safety evaluation of electrolyte leakage of vanadium flow batteries', Journal of Energy Storage, 123, http://dx.doi.org/10.1016/j.est.2025.116675

Han S; Yan Y; Bao J; Huang B, 2025, 'A Zonotope-based Big Data-driven Predictive Control Approach for Nonlinear Processes', IFAC Papersonline, 59, pp. 31 - 36, http://dx.doi.org/10.1016/j.ifacol.2025.07.117

Chen H; Li W; Bao J; Shen Y, 2025, 'A mPOD-based reduced-order modelling approach for fast gas-solid flow simulations', Chemical Engineering Science, 306, http://dx.doi.org/10.1016/j.ces.2024.121155

Tang JW; Yan Y; Bao J; Huang B, 2025, 'Big Data-Driven Control of Nonlinear Processes Through Dynamic Latent Variables Using an Autoencoder', IEEE Transactions on Cybernetics, 55, pp. 2411 - 2423, http://dx.doi.org/10.1109/TCYB.2025.3544257

Han S; Yan Y; Bao J; Huang B, 2025, 'Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach', Journal of Process Control, 152, pp. 103474 - 103474, http://dx.doi.org/10.1016/j.jprocont.2025.103474

Godiwala S; Wei L; Bao J; Skyllas-Kazacos M, 2025, 'Economic model predictive control of vanadium redox flow batteries for power arbitrage', Journal of Energy Storage, 137, pp. 118567 - 118567, http://dx.doi.org/10.1016/j.est.2025.118567

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

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

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

Ma L; Wong C-J; Bao J; Skyllas-Kazacos M; Welch B; Li W; Shi J; Ahli N; Aljasmi A; Mahmoud M, 2024, 'H∞ Filter-based Alumina Concentration Estimation for an Aluminium Smelting Process', IFAC-PapersOnLine, 58, pp. 36 - 41, http://dx.doi.org/10.1016/j.ifacol.2024.09.287

Yan Y; Bao J; Huang B, 2024, '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

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, http://dx.doi.org/10.1016/j.jprocont.2023.103083

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

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

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, 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, pp. 117409, 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

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

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 C-J; 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, 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

Back to profile page