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Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961
作者:  Mu, Chaoxu;  Wang, Ding;  He, Haibo
收藏  |  浏览/下载：217/0  |  提交时间：2019/12/16
Adaptive Dynamic Programming (Adp)  Data-driven Control  Finite-horizon Optimal Control  Heuristic Dynamic Programming (Hdp)  Learning Control  Neural Networks  
Decentralized adaptive optimal stabilization of nonlinear systems with matched interconnections 期刊论文
SOFT COMPUTING, 2018, 卷号: 22, 期号: 8, 页码: 2705-2715
作者:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo;  Qian, Chengshan
收藏  |  浏览/下载：209/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  Interconnected Nonlinear Systems  Neural Networks  Decentralized Control  Matched Interconnections  
On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H-infinity Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 993-1005
作者:  Wang, Ding;  Mu, Chaoxu;  Liu, Derong;  Ma, Hongwen
收藏  |  浏览/下载：184/0  |  提交时间：2018/10/10
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Data Driven Control  Event Driven Control  Hamilton-jacobi-isaacs (Hji) Equation  Neural Network Identification  Nonlinear H-infinity Control  Zero-sum Game  
Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1342-1351
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Zhang, Yun
收藏  |  浏览/下载：143/0  |  提交时间：2018/10/10
Adaptive Critic  Dynamical Uncertainty  Learning Systems  Neural Networks  Optimal Control  Robust Stabilization  
Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663
作者:  Wang, Ding;  Mu, Chaoxu
收藏  |  浏览/下载：148/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty