| Modelling and simulation of thermal behaviour of vanadium redox flow battery Y Yan, Y Li, M Skyllas-Kazacos, J Bao Journal of Power Sources 322, 116-128, 2016 | 89 | 2016 |
| Effects of battery design, environmental temperature and electrolyte flowrate on thermal behaviour of a vanadium redox flow battery in different applications Y Yan, M Skyllas-Kazacos, J Bao Journal of Energy Storage 11, 104-118, 2017 | 47 | 2017 |
| Dissipativity-based distributed fault diagnosis for plantwide chemical processes W Li, Y Yan, J Bao Journal of Process Control 96, 37-48, 2020 | 20 | 2020 |
| Robust distributed control of plantwide processes based on dissipativity Y Yan, R Wang, J Bao, C Zheng Journal of Process Control 77, 48-60, 2019 | 17 | 2019 |
| A data-driven predictive control structure in the behavioral framework L Wei, Y Yan, J Bao IFAC-PapersOnLine 53 (2), 152-157, 2020 | 13 | 2020 |
| Distributed data-driven predictive control via dissipative behavior synthesis Y Yan, J Bao, B Huang IEEE Transactions on Automatic Control, 2023 | 9 | 2023 |
| Robust distributed economic model predictive control based on differential dissipativity G Xiao, Y Yan, J Bao, F Liu AIChE Journal 67 (6), e17198, 2021 | 9 | 2021 |
| Dissipativity analysis for linear systems in the behavioural framework Y Yan, J Bao, B Huang 2019 Australian & New Zealand Control Conference (ANZCC), 152-156, 2019 | 9 | 2019 |
| On approximation of system behavior from large noisy data using statistical properties of measurement noise Y Yan, J Bao, B Huang IEEE Transactions on Automatic Control, 2023 | 6 | 2023 |
| Data-based fault diagnosis via dissipativity-shaping W Li, Y Yan, J Bao IEEE Control Systems Letters 7, 484-489, 2022 | 6 | 2022 |
| Data predictive control of nonlinear process feature dynamics through latent variable behaviours M Zhao, Y Yan, J Bao, W Wang Computers & Chemical Engineering 163, 107857, 2022 | 5 | 2022 |
| Fault detection using autoencoder with linear hidden layer dynamics M Zhao, Y Yan, J Bao 2020 Australian and New Zealand Control Conference (ANZCC), 48-53, 2020 | 5 | 2020 |
| Multi-level data-predictive control for linear multi-timescale processes with stability guarantee JW Tang, Y Yan, J Bao, B Huang Journal of Process Control 130, 103083, 2023 | 2 | 2023 |
| Data-Predictive Control of Multi-Timescale Processes JW Tang, Y Yan, J Bao, B Huang 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | 2 | 2022 |
| Behavioural approach to distributed control of interconnected systems Y Yan, J Bao, B Huang arXiv preprint arXiv:2103.10063, 2021 | 2 | 2021 |
| Distributed Control of Interconnected Systems in the Behavioural Framework Y Yan UNSW Sydney, 2020 | 2 | 2020 |
| Vector dissipativity-based distributed fault detection for plantwide chemical processes W Li, Y Yan, J Bao 2019 12th Asian Control Conference (ASCC), 1507-1512, 2019 | 2 | 2019 |
| Robust control synthesis for linear differential systems with parametric uncertainty Y Yan, R Wang, J Bao 2018 Australian & New Zealand Control Conference (ANZCC), 281-284, 2018 | 2 | 2018 |
| Dynamic Modelling of Vanadium Flow Batteries for System Monitoring and Control J Bao, Y Yan Flow Batteries: From Fundamentals to Applications 1, 443-461, 2023 | 1 | 2023 |
| A big data-driven predictive control approach for nonlinear processes using behaviour clusters S Han, Y Yan, J Bao, B Huang Journal of Process Control 140, 103252, 2024 | | 2024 |
Jie BaoProfessor, School of Chemical Engineering, The University of New South WalesVerified email at unsw.edu.au
