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Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures and Input Hysteresis Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2019,Volume: 49,Issue: 1,Page: 2-13
作者:  Wang, Jianhui;  Liu, Zhi;  Chen, C. L. Philip;  Zhang, Yun
收藏  |  浏览/下载:6/0  |  提交时间:2019/01/17
Actuator failure/fault  adaptive control  hysteresis  stochastic nonlinear systems  transient performance  
Fuzzy adaptive compensation control of uncertain stochastic nonlinear systems with actuator failures and input hysteresis Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 1,Page: 2-13
作者:  Wang J.;  Liu Z.;  Chen C.L.P.;  Zhang Y.
收藏  |  浏览/下载:4/0  |  提交时间:2019/02/11
Actuator failure/fault  adaptive control  hysteresis  stochastic nonlinear systems  transient performance  
Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems Journal article
IEEE Transactions on Fuzzy Systems, 2019,Volume: 27,Issue: 1,Page: 172-184
作者:  Sui S.;  Chen C.L.P.;  Tong S.
收藏  |  浏览/下载:6/0  |  提交时间:2019/02/11
Multiple-input and multiple-output (MIMO) stochastic nonlinear systems  nontriangular form  state filter  stochastically finite-time control  
Event Trigger Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 6,Page: 3770-3781
作者:  Liu, Zhi;  Wang, Jianhui;  Chen, C. L. Philip;  Zhang, Yun
收藏  |  浏览/下载:11/0  |  提交时间:2019/01/17
Actuator failure  adaptive control  event trigger  stochastic nonlinear systems  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
作者:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
浏览  |  Adobe PDF(984Kb)  |  收藏  |  浏览/下载:311/31  |  提交时间:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Nonfragile asynchronous control for uncertain chaotic Lurie network systems with Bernoulli stochastic process Journal article
International Journal of Robust and Nonlinear Control, 2018,Volume: 28,Issue: 5,Page: 1693-1714
作者:  Shi, Kaibo;  Tang, Yuanyan;  Zhong, Shouming;  Yin, Chun;  Huang, Xuegang;  Wang, Wenqin
收藏  |  浏览/下载:10/0  |  提交时间:2018/10/30
Bernoulli Stochastic Process  Chaotic Network Systems  Nonfragile Robust Control  Parameters Uncertainties  Proportional-derivative Asynchronous Control  
Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints Journal article
AUTOMATICA, 2018,Volume: 87,Page: 83-93
作者:  Liu, Yan-Jun;  Lu, Shumin;  Tong, Shaocheng;  Chen, Xinkai;  Chen, C. L. Philip;  Li, Dong-Juan
收藏  |  浏览/下载:21/0  |  提交时间:2018/10/30
Barrier Lyapunov Functions  Full state constraints  Uncertain nonlinear stochastic systems  Adaptive control  
Actuator Failure Compensation Control for Stochastic Nonlinear Systems Conference paper
作者:  Wang, Jianhui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip;  IEEE
收藏  |  浏览/下载:0/0  |  提交时间:2018/10/30
Actuator Failure/fault  Adaptive Control  Stochastic Nonlinear Systems  Fuzzy control  
Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation Journal article
ISA Transactions, 2017,Volume: 66,Page: 185-199
作者:  Shi, Kaibo;  Tang, Yuanyan;  Liu, Xinzhi;  Zhong, Shouming
收藏  |  浏览/下载:9/0  |  提交时间:2018/10/30
Chaotic Lurie System  Neural Networks  Robust Synchronization  Non-fragile Sampled-data Control  Randomly Occurring Controller Gain Fluctuation  
Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 2,Page: 524
作者:  Liu Z.;  Wang F.;  Zhang Y.;  Philip Chen C.L.
收藏  |  浏览/下载:2/0  |  提交时间:2018/10/30
Adaptive quantized control  backstepping technique  hysteretic quantizer  stochastic nonlinear systems