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Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 29, 期号: 9, 页码: 361-369
作者:  Ma, Hongwen;  Wang, Ding;  Ding Wang
浏览  |  Adobe PDF(1038Kb)  |  收藏  |  浏览/下载:399/105  |  提交时间:2017/05/03
Connectivity Preservation  Event-based Control  Multiagent Systems  Neural Networks  
Optimal control for discrete-time systems with actuator saturation 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 6, 页码: 1071-1080
作者:  Lin, Qiao;  Wei, Qinglai;  Zhao, Bo
浏览  |  Adobe PDF(348Kb)  |  收藏  |  浏览/下载:514/254  |  提交时间:2017/05/04
Approximate Dynamic Programming  Discrete Time  Generalized Policy Iteration  Optimal Control  Saturating Actuators  
Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3341-3354
作者:  Luo, Biao;  Liu, Derong;  Wu, Huai-Ning;  Wang, Ding;  Lewis, Frank L.
Adobe PDF(3217Kb)  |  收藏  |  浏览/下载:563/204  |  提交时间:2016/11/09
Adaptive Control  Adaptive Dynamic Programming (Adp)  Data-based  Off-policy Learning  Optimal Control  Policy Gradient  
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
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H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control  
Event-Based Constrained Robust Control of Affine Systems Incorporating an AdaptiveCritic Mechanism 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1602-1612
作者:  Wang, Ding;  Mu, Chaoxu;  Yang, Xiong;  Liu, Derong
Adobe PDF(1062Kb)  |  收藏  |  浏览/下载:298/93  |  提交时间:2017/09/12
Adaptive Critic Mechanism (Acm)  Event-based Control  Input Constraints  Nonlinear Systems  Robust Control  
Event-Driven Adaptive Robust Control of Nonlinear Systems With Uncertainties Through NDP Strategy 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 7, 页码: 1358-1370
作者:  Wang, Ding;  Mu, Chaoxu;  He, Haibo;  Liu, Derong
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载:366/132  |  提交时间:2017/09/12
Adaptive Dynamic Programming (Adp)  Adaptive Robust Control  Critic Neural Network  Event-driven Control  Neural Dynamic Programming (Ndp)  Uncertain Nonlinear Systems  
Online identifier-actor-critic algorithm for optimal control of nonlinear systems 期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2017, 卷号: 38, 期号: 3, 页码: 317-335
作者:  Lin, Hanquan;  Wei, Qinglai;  Liu, Derong
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Adaptive Dynamic Programming  Optimal Control  Discrete-time  Nonlinear System  Neural Network  Online Learning  Lyapunov Method  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
作者:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
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Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm 期刊论文
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 卷号: 48, 期号: 3, 页码: 525-534
作者:  Lin, Qiao;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(296Kb)  |  收藏  |  浏览/下载:309/130  |  提交时间:2017/02/14
Adaptive Dynamic Programming  Affine Nonlinear Systems  Discrete-time  Generalised Policy Iteration  Neural Network  Tracking Control  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
Adobe PDF(1090Kb)  |  收藏  |  浏览/下载:342/135  |  提交时间:2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback