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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
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Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive NN control for a class of stochastic nonlinear systems with unmodeled dynamics using DSC technique Journal article
Neurocomputing, 2015,Volume: 149,Issue: Part A,Page: 142-150
Authors:  Li Z.;  Li T.;  Miao B.;  Chen C.L.P.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/11
Dynamic surface control  Input-to-state practical stability  Neural network  Small-gain theorem  Stochastic nonlinear system  Unmodeled dynamics  
Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
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Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay  
Adaptive fuzzy output-feedback controller design for nonlinear systems via backstepping and small-gain approach Journal article
IEEE Transactions on Cybernetics, 2014,Volume: 44,Issue: 10,Page: 1714
Authors:  Liu Z.;  Wang F.;  Zhang Y.;  Chen X.;  Chen C.L.P.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Adaptive fuzzy control  backsteppng technique  output-feedback  small-gain approach  
Design and analysis of a totally decoupled flexure-based XY parallel micromanipulator Journal article
IEEE Transactions on Robotics, 2009,Volume: 25,Issue: 3,Page: 645
Authors:  Li Y.;  Xu Q.
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Dynamics  Kinematics  Mechanism Design  Micro-/nanorobots  Parallel Robots