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Robust adaptive visual tracking control for uncertain robotic systems with unknown dead-zone inputs Journal article
Journal of the Franklin Institute, 2019,Volume: 356,Issue: 12,Page: 6255-6279
Authors:  Wang,Fujie;  Liu,Zhi;  Chen,C. L.Philip;  Zhang,Yun
Favorite |  | TC[WOS]:6 TC[Scopus]:7 | Submit date:2021/03/09
Adaptive Fuzzy Tracking Control of Uncertain Nonlinear Systems Subject to Actuator Dead Zone with Piecewise Time-Varying Parameters Journal article
IEEE Transactions on Fuzzy Systems, 2019,Volume: 27,Issue: 7,Page: 1493-1505
Authors:  Lu,Kaixin;  Liu,Zhi;  Lai,Guanyu;  Zhang,Yun;  Chen,C. L.Philip
Favorite |  | TC[WOS]:9 TC[Scopus]:11 | Submit date:2021/03/09
Adaptive fuzzy control  dead zone  piecewise Lyapunov function  prescribed performance  
Event-triggered neural adaptive failure compensation control for stochastic systems with dead-zone output Journal article
Nonlinear Dynamics, 2019,Volume: 96,Issue: 3,Page: 2179-2196
Authors:  Wang,Jianhui;  Liu,Zhi;  Chen,C. L.Philip;  Zhang,Yun
Favorite |  | TC[WOS]:11 TC[Scopus]:13 | Submit date:2021/03/09
Actuator failure  Dead-zone output  Event-triggered  Neural networks  
Real-time Electricity Price Based Integrated Response Model for Prosumers 基于实时电价的产消者综合响应模型 Journal article
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019,Volume: 43,Issue: 7,Page: 81-88
Authors:  Li,Biao;  Wan,Can;  Zhao,Jian;  Song,Yonghua;  Zhang,Ziyang
Favorite |  | TC[WOS]:0 TC[Scopus]:8 | Submit date:2021/03/09
Demand response  Distributed generation  Integrated response  Prosumers  Real-time electricity price  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems with Unknown Nonaffine Dead-Zone Input Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite |  | TC[WOS]:37 TC[Scopus]:41 | Submit date:2019/02/11
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite |  | TC[WOS]:37 TC[Scopus]:41 | Submit date:2019/01/17
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
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
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View | Adobe PDF | Favorite |  | TC[WOS]:33 TC[Scopus]:36 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Direct adaptive compensation for actuator failures and dead-Zone constraints in tracking control of uncertain nonlinear systems Journal article
INFORMATION SCIENCES, 2017,Volume: 417,Page: 328-343
Authors:  Su, Xiaohang;  Liu, Zhi;  Lai, Guanyu;  Chen, C. L. Philip;  Chen, Ci
Favorite |  | TC[WOS]:8 TC[Scopus]:9 | Submit date:2018/10/30
Adaptive control  Fault-tolerant control  Backstepping  Actuator failures  Dead zone  
Synthesis of Five- and Six-Membered N-Phenylacetamido Substituted Heterocycles as Formyl Peptide Receptor Agonists Journal article
DRUG DEVELOPMENT RESEARCH, 2017,Volume: 78,Issue: 1,Page: 49-62
Authors:  Vergelli, Claudia;  Schepetkin, Igor A.;  Ciciani, Giovanna;  Cilibrizzi, Agostino;  Crocetti, Letizia;  Giovannoni, Maria Paola;  Guerrini, Gabriella;  Iacovone, Antonella;  Kirpotina, Liliya N.;  Ye, Richard D.;  Quinn, Mark T.
View | Adobe PDF | Favorite |  | TC[WOS]:5 TC[Scopus]:4 | Submit date:2018/10/30
formyl peptide receptor  agonist  pyridazin-3(2H)-one  neutrophil  Ca2+flux  
Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017,Volume: 25,Issue: 1,Page: 191-204
Authors:  Lai, Guanyu;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip;  Xie, Shengli;  Liu, Yanjun
Favorite |  | TC[WOS]:88 TC[Scopus]:83 | Submit date:2018/10/30
Dead-zone nonlinearity  fuzzy logic systems (FLSs)  nonlinear systems  robust adaptive control  uncertainties