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Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems Journal article
IEEE Transactions on Fuzzy Systems, 2019,Volume: 27,Issue: 1,Page: 172-184
Authors:  Sui S.;  Chen C.L.P.;  Tong S.
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Multiple-input and multiple-output (MIMO) stochastic nonlinear systems  nontriangular form  state filter  stochastically finite-time control  
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 synchronization of complicated chaotic systems with uncertainties via fuzzy modeling-based control strategy Journal article
INFORMATION SCIENCES, 2018,Volume: 427,Page: 18-31
Authors:  Tam, Lap-Mou;  Chen, Hsien-Keng;  Li, Shih-Yu
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GLT fuzzy model  Nonlinear terms group  Fuzzy adaptive control  
Fuzzy adaptive control of two totally different chaotic systems with complicated structures by novel pragmatically adaptive control strategy Journal article
SOFT COMPUTING, 2017,Volume: 21,Issue: 22,Page: 6783-6800
Authors:  Chen, Chin-Sheng;  Tsai, Shun-Hung;  Tam, Lap-Mou;  Li, Shih-Yu
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Ge-Li fuzzy model  Pragmatical adaptive control  Lyapunov function  Complicated chaotic system  
Adaptive neuro fuzzy inference system for chart pattern matching in financial time series Journal article
APPLIED SOFT COMPUTING, 2017,Volume: 57,Page: 1-18
Authors:  Yuqing Wan;  Yain-Whar Si
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Chart Patterns  Financial Time Series  Pattern Matching  Adaptive Neuro Fuzzy Inference System  
Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems With Input Nonlinearities and its Application to Robotic Exoskeleton Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 4,Page: 984-994
Authors:  Chen, Ziting;  Li, Zhijun;  Chen, C. L. Philip
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Disturbance observer  fuzzy logic system (FLS)  input nonlinearity  robotic exoskeleton  uncertain multi-input-multi-output (MIMO) system  
Disturbance Observer-Based Fuzzy Control of Uncertain MIMO Mechanical Systems with Input Nonlinearities and its Application to Robotic Exoskeleton Journal article
IEEE Transactions on Cybernetics, 2017,Volume: 47,Issue: 4,Page: 984-994
Authors:  Chen Z.;  Li Z.;  Chen C.L.P.
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Disturbance observer  fuzzy logic system (FLS)  input nonlinearity  robotic exoskeleton  Uncertain multi-input-multi-output (MIMO) system  
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems Journal article
NEUROCOMPUTING, 2017,Volume: 230,Page: 332-344
Authors:  Rong, Hai-Jun;  Yang, Zhao-Xu;  Wong, Pak Kin;  Vong, Chi Man;  Zhao, Guang-She
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Meta-cognitive Learning  Backstepping Control  Nonlinear Systems  Fuzzy Neural Control  
Adaptive control of novel fuzzy systems with unknown parameters in membership functions Journal article
Journal of Computational and Theoretical Nanoscience, 2017,Volume: 14,Issue: 3,Page: 1581-1588
Authors:  Tsai S.-H.;  Chen C.-S.;  Tam L.-M.;  Li S.-Y.
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Advanced G-L Fuzzy Model  Fuzzy Adaptive Control  Nonlinear Terms Group  Uncertain Parameters  
Novel Fuzzy-Modeling-Based Adaptive Synchronization of Nonlinear Dynamic Systems Journal article
COMPLEXITY, 2017
Authors:  Li, Shih-Yu;  Chen, Chin-Sheng;  Tam, Lap-Mou;  Tsai, Shun-Hung
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