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Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown Strong Interconnections 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 173-186
作者:  Ben Niu;  Jidong Liu;  Ding Wang;  Xudong Zhao;  Huanqing Wang
Adobe PDF(3586Kb)  |  收藏  |  浏览/下载：266/49  |  提交时间：2021/11/03
Adaptive decentralized control  asymptotic tracking control  large-scale nonlinear systems  unknown strong interconnections  
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 卷号: 48, 期号: 10, 页码: 1725-1735
作者:  Zhao B(赵博);  Ding Wang
浏览  |  Adobe PDF(768Kb)  |  收藏  |  浏览/下载：392/111  |  提交时间：2018/10/14
Adaptive Dynamic Programming  Decentralized Control  Large-scale Systems  Neural Networks  
Adaptive Critic Nonlinear Robust Control: A Survey 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
浏览  |  Adobe PDF(1954Kb)  |  收藏  |  浏览/下载：447/151  |  提交时间：2018/03/03
Adaptive Critic Designs  Adaptive/approximate Dynamic Programming (Adp)  Boundedness  Convergence  Neural Networks  Optimal Control  Reinforcement Learning  Robust Control  Stability  
Neural-Network-Based Optimal Control for a Class of Nonlinear Discrete-Time Systems With Control Constraints Using the Iterative GDHP Algorithm 会议论文
International Joint Conference on Neural Networks (IJCNN), 2011
作者:  Liu, DR;  Wang, D;  Zhao, DB
Adobe PDF(434Kb)  |  收藏  |  浏览/下载：316/77  |  提交时间：2015/08/19
A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2013, 卷号: 22, 期号: 2, 页码: 219-227
作者:  Wang, Ding;  Liu, Derong;  Zhao, Dongbin;  Huang, Yuzhu;  Zhang, Dehua
Adobe PDF(507Kb)  |  收藏  |  浏览/下载：265/77  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Neural Dynamic Programming  Neural Networks  Optimal Control  Reinforcement Learning