Online Adaptive Policy Learning Algorithm for State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems H Zhang, C Qin, B Jiang, Y Luo IEEE transactions on cybernetics 44 (12), 2706-2718, 2014 | 233 | 2014 |
Neural-network-based constrained optimal control scheme for discrete-time switched nonlinear system using dual heuristic programming H Zhang, C Qin, Y Luo IEEE Transactions on Automation Science and Engineering 11 (3), 839-849, 2014 | 229 | 2014 |
Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming C Qin, H Zhang, Y Luo International Journal of Control 87 (5), 1000-1009, 2014 | 122 | 2014 |
An efficient lightweight convolutional neural network for industrial surface defect detection D Zhang, X Hao, D Wang, C Qin, B Zhao, L Liang, W Liu Artificial Intelligence Review 56 (9), 10651-10677, 2023 | 69 | 2023 |
Neural network-based online H∞ control for discrete-time affine nonlinear system using adaptive dynamic programming C Qin, H Zhang, Y Wang, Y Luo Neurocomputing 198, 91-99, 2016 | 50 | 2016 |
A novel deep convolutional neural network algorithm for surface defect detection D Zhang, X Hao, L Liang, W Liu, C Qin Journal of Computational Design and Engineering 9 (5), 1616-1632, 2022 | 43 | 2022 |
Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound C Qin, H Zhang, Y Luo, B Wang International Journal of Systems Science 45 (8), 1683-1693, 2014 | 28 | 2014 |
Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming C Qin, H Zhang, Y Luo Neural Computing and Applications 24 (3), 531-538, 2014 | 24 | 2014 |
Model‐Free H∞ Control Design for Unknown Continuous‐Time Linear System Using Adaptive Dynamic Programming C Qin, H Zhang, Y Luo Asian Journal of Control 18 (2), 609-618, 2016 | 22 | 2016 |
Barrier-critic adaptive robust control of nonzero-sum differential games for uncertain nonlinear systems with state constraints C Qin, X Qiao, J Wang, D Zhang, Y Hou, S Hu IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 18 | 2023 |
Neural network-based safe optimal robust control for affine nonlinear systems with unmatched disturbances C Qin, J Wang, H Zhu, J Zhang, S Hu, D Zhang Neurocomputing 506, 228-239, 2022 | 16 | 2022 |
Adaptive optimal safety tracking control for multiplayer mixed zero-sum games of continuous-time systems C Qin, Z Zhang, Z Shang, J Zhang, D Zhang Applied Intelligence 53 (14), 17460-17475, 2023 | 12 | 2023 |
A clustering scheme based on the binary Whale Optimization Algorithm in FANET Y Yan, X Xia, L Zhang, Z Li, C Qin Entropy 24 (10), 1366, 2022 | 12 | 2022 |
Robust tracking control for non-zero-sum games of continuous-time uncertain nonlinear systems C Qin, Z Shang, Z Zhang, D Zhang, J Zhang Mathematics 10 (11), 1904, 2022 | 9 | 2022 |
Event-triggered safe control for the zero-sum game of nonlinear safety-critical systems with input saturation C Qin, H Zhu, J Wang, Q Xiao, D Zhang IEEE Access 10, 40324-40337, 2022 | 7 | 2022 |
Safe adaptive learning algorithm with neural network implementation for H∞ control of nonlinear safety‐critical system C Qin, J Wang, H Zhu, Q Xiao, D Zhang International Journal of Robust and Nonlinear Control 33 (1), 372-391, 2023 | 6 | 2023 |
Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg–Nash games with time-varying state constraints C Qin, T Zhu, K Jiang, Y Wu Engineering Applications of Artificial Intelligence 133, 108317, 2024 | 5 | 2024 |
Parallel learning-based security robust tracking control for nonlinear systems with uncertainties: An event-triggered design C Qin, Z Shang, Z Zhang, D Zhang, J Zhang Engineering Applications of Artificial Intelligence 133, 108077, 2024 | 5 | 2024 |
Robust Trajectory Tracking Control for Continuous-Time Nonlinear Systems with State Constraints and Uncertain Disturbances C Qin, X Qiao, J Wang, D Zhang Entropy 24 (6), 816, 2022 | 5 | 2022 |
Integral reinforcement learning for tracking in a class of partially unknown linear systems with Output constraints and external disturbances C Qin, J Wang, X Qiao, H Zhu, D Zhang, Y Yan IEEE Access 10, 55270-55278, 2022 | 5 | 2022 |