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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 G.;  Chen C.L.P.;  Feng J.;  Zhou N.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive fuzzy control via observer design for uncertain nonlinear systems with unmodeled dynamics Journal article
IEEE Transactions on Fuzzy Systems, 2013,Volume: 21,Issue: 2,Page: 275
Authors:  Liu Y.-J.;  Tong S.;  Chen C.L.P.
Favorite  |  View/Download:8/0  |  Submit date:2018/10/30
Adaptive control  nonlinear systems  output feedback control  unmodeled dynamics