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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)  
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.
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Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Fast identification of anticancer constituents in Forsythiae Fructus based on metabolomics approaches Journal article
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2018,Volume: 154,Page: 312-320
Authors:  Bao, Jiaolin;  Ding, Ren-Bo;  Jia, Xuejing;  Liang, Yeer;  Liu, Fang;  Wang, Kai;  Zhang, Chao;  Li, Peng;  Wang, Yitao;  Wan, Jian-Bo;  He, Chengwei
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Forsythiae Fructus  Anticancer  Metabolomics  Multivariate Data Analysis  B16-f10 Melanoma  
Adaptive Consensus of Nonlinear Multi-Agent Systems With Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors Journal article
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017,Volume: 62,Issue: 9,Page: 4654-4659
Authors:  Chen, Ci;  Wen, Changyun;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
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Adaptive consensus  multi-agent system  non-identical control directions  partially unknown  
Adaptive Consensus of Nonlinear Multi-Agent Systems with Non-Identical Partially Unknown Control Directions and Bounded Modelling Errors Journal article
IEEE Transactions on Automatic Control, 2017,Volume: 62,Issue: 9,Page: 4654-4659
Authors:  Chen C.;  Wen C.;  Liu Z.;  Xie K.;  Zhang Y.;  Chen C.L.P.
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Adaptive consensus  multi-agent system  non-identical control directions  partially unknown  
Event-triggered output synchronization of heterogeneous multi-agent systems Journal article
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2017,Volume: 27,Issue: 8,Page: 1302-1338
Authors:  Almeida, J.;  Silvestre, C.;  Pascoal, A. M.
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Multi-agent Systems  Sampled-data Systems  Output Regulation  Output Synchronization  Event-triggered Control  
Observer based consensus for nonlinear multi-agent systems with communication failures Journal article
Neurocomputing, 2016,Volume: 173,Page: 1034-1043
Authors:  Zhang W.;  Kou K.I.;  Lou J.;  Liu Y.
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Communication Failure  Consensus  Measured Output  Multi-agent System  
Quantized consensus control for second-order multi-agent systems with nonlinear dynamics Journal article
Neurocomputing, 2015,Volume: 175,Issue: PartA,Page: 529-537
Authors:  Ren C.-E.;  Chen L.;  Chen C.L.P.;  Du T.
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Leader-following Consensus  Nonlinear Dynamics  Quantized Consensus  Second-order Multi-agent Systems  Sliding Mode Control  
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  
Decentralized control for second-order uncertain nonlinear multi-agent systems consensus problem based on fuzzy adaptive high-gain observer Conference paper
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Authors:  Ren C.;  Philip Chen C.L.
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Adaptive decentralized control  Consensus control  High-gain state observer  Multi-agent systems  Nonlinear unknown dynamics