| 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 | 48 | 2017 |
| Distributed economic MPC with separable control contraction metrics R Wang, IR Manchester, J Bao IEEE control systems letters 1 (1), 104-109, 2017 | 24 | 2017 |
| A convex parameterization of robust recurrent neural networks M Revay, R Wang, IR Manchester IEEE Control Systems Letters 5 (4), 1363-1368, 2020 | 20 | 2020 |
| Fault diagnosis based on dissipativity property Q Lei, R Wang, J Bao Computers & Chemical Engineering 108, 360-371, 2018 | 13 | 2018 |
| Distributed plantwide control based on differential dissipativity R Wang, J Bao International Journal of Robust and Nonlinear Control 27 (13), 2253-2274, 2017 | 13 | 2017 |
| Lipschitz bounded equilibrium networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2010.01732, 2020 | 10 | 2020 |
| Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding R Wang, R Tóth, IR Manchester arXiv preprint arXiv:2003.08513, 2020 | 10 | 2020 |
| A differential Lyapunov-based tube MPC approach for continuous-time nonlinear processes R Wang, J Bao Journal of Process Control 83, 155-163, 2019 | 10 | 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 | 10 | 2019 |
| Reduced-order nonlinear observers via contraction analysis and convex optimization B Yi, R Wang, IR Manchester IEEE Transactions on Automatic Control, 2021 | 9 | 2021 |
| Continuous-time dynamic realization for nonlinear stabilization via control contraction metrics R Wang, IR Manchester 2020 American Control Conference (ACC), 1619-1624, 2020 | 9 | 2020 |
| 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 | 9 | 2019 |
| Manchester. Lipschitz bounded equilibrium networks M Revay, R Wang, R Ian arXiv preprint arXiv:2010.01732 2 (9), 2020 | 8 | 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 | 8 | 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 | 8 | 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 | 8 | 2018 |
| Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems RJ McCloy, R Wang, J Bao Journal of Process Control 97, 45-58, 2021 | 7 | 2021 |
| Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness M Revay, R Wang, IR Manchester arXiv preprint arXiv:2104.05942, 2021 | 5 | 2021 |
| Robust contraction analysis of nonlinear systems via differential IQC R Wang, IR Manchester 2019 IEEE 58th Conference on Decision and Control (CDC), 6766-6771, 2019 | 5 | 2019 |
| Convex sets of robust recurrent neural networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2004.05290, 2020 | 4 | 2020 |
Jie BaoProfessor, School of Chemical Engineering, The University of New South WalesVerified email at unsw.edu.au
