| Dissipativity based distributed economic model predictive control for residential microgrids with renewable energy generation and battery energy storage X Zhang, J Bao, R Wang, C Zheng, M Skyllas-Kazacos Renewable Energy 100, 18-34, 2017 | 34 | 2017 |
| Distributed economic mpc with separable control contraction metrics R Wang, IR Manchester, J Bao IEEE control systems letters 1 (1), 104-109, 2017 | 16 | 2017 |
| Fault diagnosis based on dissipativity property Q Lei, R Wang, J Bao Computers & Chemical Engineering 108, 360-371, 2018 | 9 | 2018 |
| Distributed plantwide control based on differential dissipativity R Wang, J Bao International Journal of Robust and Nonlinear Control 27 (13), 2253-2274, 2017 | 8 | 2017 |
| A differential Lyapunov-based tube MPC approach for continuous-time nonlinear processes R Wang, J Bao Journal of Process Control 83, 155-163, 2019 | 7 | 2019 |
| A self-interested distributed economic model predictive control approach to battery energy storage networks R Wang, X Zhang, J Bao Journal of Process Control 73, 9-18, 2019 | 7 | 2019 |
| A novel distributed economic model predictive control approach for building air-conditioning systems in microgrids X Zhang, R Wang, J Bao Mathematics 6 (4), 60, 2018 | 7 | 2018 |
| 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 | 4 | 2019 |
| A data-centric predictive control approach for nonlinear chemical processes R Wang, J Bao, Y Yao Chemical Engineering Research and Design 142, 154-164, 2019 | 3 | 2019 |
| Decentralized control of polynomial systems using differential dissipativity R Wang, J Bao 2015 IEEE Conference on Control Applications (CCA), 1416-1421, 2015 | 3 | 2015 |
| Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding R Wang, R Tóth, IR Manchester arXiv preprint arXiv:2003.08513, 2020 | 2 | 2020 |
| Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics R Wang, IR Manchester arXiv preprint arXiv:1909.13033, 2019 | 2 | 2019 |
| A comparison of LPV gain scheduling and control contraction metrics for nonlinear control R Wang, R Tóth, IR Manchester IFAC-PapersOnLine 52 (28), 44-49, 2019 | 2 | 2019 |
| A behavior based robust fault detection approach for LTI systems R Wang, Q Lei, J Bao 2017 11th Asian Control Conference (ASCC), 1755-1760, 2017 | 2 | 2017 |
| Control of distributed energy storage systems in residential microgrids X Zhang, R Wang, J Bao, M Skyllas-Kazacos 2016 Australian Control Conference (AuCC), 270-275, 2016 | 2 | 2016 |
| Fast wavelet-based model predictive control of differentially flat systems R Wang, MJ Tippett, J Bao Processes 3 (1), 161-177, 2015 | 2 | 2015 |
| Convex Sets of Robust Recurrent Neural Networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2004.05290, 2020 | 1 | 2020 |
| 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 | 1 | 2018 |
| Asymptotic tracking of periodic operation based on control contraction metrics R Wang, J Bao IFAC-PapersOnLine 49 (7), 574-578, 2016 | 1 | 2016 |
| On necessary conditions of tracking control for nonlinear systems via contraction analysis B Yi, R Wang, IR Manchester 2020 59th IEEE Conference on Decision and Control (CDC), 2000-2005, 2020 | | 2020 |
Jie BaoProfessor, School of Chemical Engineering, The University of New South WalesVerified email at unsw.edu.au
