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Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems 期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:  Wei Qinglai;  Wang Xin;  Liu Yu;  Xiong Gang
Adobe PDF(2135Kb)  |  收藏  |  浏览/下载：139/49  |  提交时间：2023/05/23
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:  Zhang, Chi;  Zou, Wei;  Cheng, Ningbo;  Gao, Junshan
Adobe PDF(3031Kb)  |  收藏  |  浏览/下载：208/29  |  提交时间：2022/03/17
Fault-tolerant control (FTC)  integral sliding mode control (ISMC)  neural network (NN)  nonlinear control system  reinforcement learning (RL)  
Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies 期刊论文
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2019, 卷号: 12, 页码: 1753-1760
作者:  Ma, Chao;  Kang, Erlong
Adobe PDF(1013Kb)  |  收藏  |  浏览/下载：375/58  |  提交时间：2020/03/30
Distributed consensus  Markov jump multi-agent systems  Mode-dependent event-triggered communication  Mode-dependent switching topologies  
Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach 期刊论文
NEUROCOMPUTING, 2017, 卷号: 243, 页码: 103-114
作者:  Ma, Chao;  Qiao, Hong
Adobe PDF(1955Kb)  |  收藏  |  浏览/下载：288/55  |  提交时间：2017/07/18
Nonlinear Multi-agent Systems  Extended Dissipative Consensus  Event-triggered Consensus  
Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: *, 页码: 377-386
作者:  Zhang, Qichao;  Zhao, Dongbin;  Zhu, Yuanheng
浏览  |  Adobe PDF(1508Kb)  |  收藏  |  浏览/下载：620/268  |  提交时间：2017/05/04
Adaptive Dynamic Programming  Optimal Control  Neural Network  Fully Cooperative Games  Data-driven  Constrained Input  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：388/120  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 11, 页码: 1544-1555
作者:  Wang, Ding;  Liu, Derong;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1082Kb)  |  收藏  |  浏览/下载：446/197  |  提交时间：2017/02/14
Adaptive Critic Designs  Adaptive Dynamic Programming  Intelligent Control  Neural Networks  Policy Iteration  Robust Optimal Control  System Identification  Uncertain Nonlinear Systems  
Model-Free Optimal Tracking Control via Critic-Only Q-Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 10, 页码: 2134-2144
作者:  Luo, Biao;  Liu, Derong;  Huang, Tingwen;  Wang, Ding;  Luo,Biao
浏览  |  Adobe PDF(1521Kb)  |  收藏  |  浏览/下载：574/284  |  提交时间：2016/10/24
Critic-only Q-learning (Coql)  Model-free  Nonaffine Nonlinear Systems  Optimal Tracking Control  
Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties 期刊论文
INFORMATION SCIENCES, 2016, 期号: 366, 页码: 121-133
作者:  Wang, Ding;  Li, Chao;  Liu, Derong;  Mu, Chaoxu
浏览  |  Adobe PDF(782Kb)  |  收藏  |  浏览/下载：478/188  |  提交时间：2016/10/20
Adaptive Dynamic Programming  Data-based Control  Integral Policy Iteration  Matched Uncertainties  Neural Networks  Robust Optimal Control  
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 840-853
作者:  Wei, Qinglai;  Liu, Derong;  Lin, Hanquan;  Derong Liu
浏览  |  Adobe PDF(2015Kb)  |  收藏  |  浏览/下载：374/162  |  提交时间：2016/06/14
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks  Neuro-dynamic Programming  Optimal Control  Reinforcement Learning  Value Iteration