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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]:22 TC[Scopus]:28 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive Neural Control of Uncertain MIMO Nonlinear Systems With State and Input Constraints Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017,Volume: 28,Issue: 6,Page: 1318-1330
Authors:  Chen, Ziting;  Li, Zhijun;  Chen, C. L. Philip
Favorite |  | TC[WOS]:86 TC[Scopus]:98 | Submit date:2018/10/30
Barrier Lyapunov function (BLF)  disturbance observer  neural networks (NNs)  state/input saturation constraints  
Adaptive neural network output-feedback control for a class of discrete-time nonlinear systems in presence of input saturation Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Authors:  Wang X.;  Li T.;  Chen C.L.P.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Discrete-time nonlinear systems  Input saturation constraint  Neural network control  Output-feedback control