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Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai
收藏  |  浏览/下载：72/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Approximate Dynamic Programming for Event-Driven H-8 Constrained Control 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 11
作者:  Yang, Xiong;  Xu, Mengmeng;  Wei, Qinglai
收藏  |  浏览/下载：49/0  |  提交时间：2023/11/17
Approximate dynamic programming (ADP)  event-driven control  H(8)control  input constraint  optimal control  
Event-Triggered Adaptive Dynamic Programming for Zero-Sum Game of Partially Unknown Continuous-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 9, 页码: 3189-3199
作者:  Xue, Shan;  Luo, Biao;  Liu, Derong
收藏  |  浏览/下载：219/0  |  提交时间：2020/09/28
Adaptive dynamic programming (ADP)  event-triggered control  Hamilton-Jacobi-Isaacs (HJI) equation  neural network (NN) identifier  zero-sum (ZS) game  
Decentralized robust zero-sum neuro-optimal control for modular robot manipulators in contact with uncertain environments: theory and experimental verification 期刊论文
NONLINEAR DYNAMICS, 2019, 卷号: 97, 期号: 1, 页码: 503-524
作者:  Dong, Bo;  An, Tianjiao;  Zhou, Fan;  Liu, Keping;  Li, Yuanchun
收藏  |  浏览/下载：229/0  |  提交时间：2019/12/16
Modular robot manipulators  Adaptive dynamic programming  Decentralized control  Optimal control  Zero-sum game  
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 6, 页码: 2099-2111
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning
浏览  |  Adobe PDF(1045Kb)  |  收藏  |  浏览/下载：372/114  |  提交时间：2018/10/10
Adaptive Control  Adaptive Dynamic Programming  Constraints  Critic-only  Data-based  Optimal Control  Q-learning  
Model-Free Adaptive Control for Unknown Nonlinear Zero-Sum Differential Game 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 5, 页码: 1633-1646
作者:  Zhong, Xiangnan;  He, Haibo;  Wang, Ding;  Ni, Zhen
收藏  |  浏览/下载：159/0  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  Globalized Dual Heuristic Dynamic Programming (Gdhp)  Model-free  Neural Networks  Zero-sum Game  
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：185/0  |  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  
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Adobe PDF(892Kb)  |  收藏  |  浏览/下载：290/37  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
Robust adaptive critic control design with network-based event-triggered formulation 期刊论文
NONLINEAR DYNAMICS, 2017, 卷号: 90, 期号: 3, 页码: 2023-2035
作者:  Mu, Chaoxu;  Wang, Ding;  Sun, Changyin;  Zong, Qun
浏览  |  Adobe PDF(1014Kb)  |  收藏  |  浏览/下载：378/123  |  提交时间：2018/03/03
Adaptive Critic Control  Disturbance Rejection  Event-triggered Mechanism  Network-based Systems  Robust H-infinity Control  
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：409/143  |  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