| Learning and optimization in hierarchical adaptive critic design H He, Z Ni, D Zhao Reinforcement Learning and Approximate Dynamic Programming for Feedback …, 2013 | 642* | 2013 |
| Air-breathing hypersonic vehicle tracking control based on adaptive dynamic programming C Mu, Z Ni, C Sun, H He IEEE transactions on neural networks and learning systems 28 (3), 584-598, 2016 | 306 | 2016 |
| A three-network architecture for on-line learning and optimization based on adaptive dynamic programming H He, Z Ni, J Fu Neurocomputing 78 (1), 3-13, 2012 | 241 | 2012 |
| A multistage game in smart grid security: A reinforcement learning solution Z Ni, S Paul IEEE transactions on neural networks and learning systems 30 (9), 2684-2695, 2019 | 215 | 2019 |
| Adaptive Learning in Tracking Control Based on the Dual Critic Network Design Z Ni, H He, J Wen IEEE Trans. Neural Networks and Learning Systems 24, 913-928, 2013 | 198 | 2013 |
| Data-driven tracking control with adaptive dynamic programming for a class of continuous-time nonlinear systems C Mu, Z Ni, C Sun, H He IEEE transactions on cybernetics 47 (6), 1460-1470, 2016 | 178 | 2016 |
| Real-time cyber physical system testbed for power system security and control S Poudel, Z Ni, N Malla International Journal of Electrical Power & Energy Systems 90, 124-133, 2017 | 137 | 2017 |
| Reactive power control of grid-connected wind farm based on adaptive dynamic programming Y Tang, H He, Z Ni, J Wen, X Sui Neurocomputing 125, 125-133, 2014 | 120 | 2014 |
| Model-free adaptive control for unknown nonlinear zero-sum differential game X Zhong, H He, D Wang, Z Ni IEEE transactions on cybernetics 48 (5), 1633-1646, 2017 | 115 | 2017 |
| Goal Representation Heuristic Dynamic Programming on Maze Navigation Z Ni, H He, J Wen, X Xu IEEE Trans. Neural Networks and Learning Systems 24 (12), 2038 - 2050, 2013 | 113 | 2013 |
| Model-free dual heuristic dynamic programming Z Ni, H He, X Zhong, DV Prokhorov IEEE transactions on neural networks and learning systems 26 (8), 1834-1839, 2015 | 108 | 2015 |
| A new hybrid model for short-term electricity load forecasting MR Haq, Z Ni IEEE access 7, 125413-125423, 2019 | 103 | 2019 |
| GrDHP: A general utility function representation for dual heuristic dynamic programming Z Ni, H He, D Zhao, X Xu, DV Prokhorov IEEE transactions on neural networks and learning systems 26 (3), 614-627, 2014 | 96 | 2014 |
| A computationally efficient optimization approach for battery systems in islanded microgrid A Das, Z Ni IEEE Transactions on Smart Grid 9 (6), 6489-6499, 2017 | 89 | 2017 |
| Electrical distance approach for searching vulnerable branches during contingencies S Poudel, Z Ni, W Sun IEEE Transactions on Smart Grid 9 (4), 3373-3382, 2016 | 74 | 2016 |
| Robot-assisted pedestrian regulation based on deep reinforcement learning Z Wan, C Jiang, M Fahad, Z Ni, Y Guo, H He IEEE transactions on cybernetics 50 (4), 1669-1682, 2018 | 72 | 2018 |
| A theoretical foundation of goal representation heuristic dynamic programming X Zhong, Z Ni, H He IEEE Transactions on Neural Networks and Learning Systems 27 (12), 2513-2525, 2015 | 68 | 2015 |
| Cooperative differential game-based optimal control and its application to power systems C Mu, K Wang, Z Ni, C Sun IEEE Transactions on Industrial Informatics 16 (8), 5169-5179, 2019 | 67 | 2019 |
| Adaptive learning and sampled-control for nonlinear game systems using dynamic event-triggering strategy C Mu, K Wang, Z Ni IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4437-4450, 2021 | 66 | 2021 |
| Event-triggered reinforcement learning approach for unknown nonlinear continuous-time system X Zhong, Z Ni, H He, X Xu, D Zhao 2014 International Joint Conference on Neural Networks (IJCNN), 3677-3684, 2014 | 61 | 2014 |
Haibo HeUniversity of Rhode IslandVerified email at uri.edu
