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Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:  Wei, Qinglai;  Jiao, Shanshan;  Wang, Fei-Yue;  Dong, Qi
收藏  |  浏览/下载：108/0  |  提交时间：2023/12/21
Optimal control  Control systems  Uncertainty  Robust control  Performance analysis  Dynamic programming  Uncertain systems  ADP  NN  nonlinear robust optimal control  parallel control  tracking control  
Switching Event-Triggered Adaptive Resilient Dynamic Surface Control for Stochastic Nonlinear CPSs With Unknown Deception Attacks 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 9
作者:  Niu, Ben;  Chen, Wendi;  Su, Wei;  Wang, Huanqing;  Wang, Ding;  Zhao, Xudong
收藏  |  浏览/下载：207/0  |  提交时间：2022/11/14
Switches  Stochastic processes  Security  Heuristic algorithms  Actuators  Nonlinear systems  Control design  Dynamic surface control (DSC)  stochastic nonlinear cyber-physical systems (CPSs)  switching threshold event-triggered control  unknown deception attacks  
Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:  Guo, Chao;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载：374/0  |  提交时间：2022/06/10
Nonlinear systems  Time-varying systems  Control design  Adaptive systems  Delay effects  Artificial neural networks  Automation  Feasibility conditions  input and full-state constraints  neural networks (NNs)  nonlinear systems  time-varying powers  
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Yu, Xinbo;  Li, Bin;  He, Wei;  Feng, Yanghe;  Cheng, Long;  Silvestre, Carlos
收藏  |  浏览/下载：274/0  |  提交时间：2022/02/16
Robots  Robot sensing systems  Task analysis  Force  Impedance  Sensors  Collaboration  Error constraint  human-robot co-transportation  input constraint  neural networks (NNs)  vision and force sensing  
Adaptive Q-Learning for Data-Based Optimal Output Regulation With Experience Replay 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3337-3348
作者:  Luo, Biao;  Yang, Yin;  Liu, Derong
收藏  |  浏览/下载：300/0  |  提交时间：2019/01/08
Data-based  experience replay  neural networks (NNs)  off-policy  optimal control  Q-learning (QL)