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Cooperation Control of Under-actuated Mobile Robots with RBF-NN Approximator Conference paper
2018 International Automatic Control Conference (CACS), Taoyuan, Taiwan, 2018-11
Authors:  Yu Z.;  Wong S.F.
Favorite  |  View/Download:4/0  |  Submit date:2019/03/28
Cooperation Control  Lyapunov Direct Method  Rbf Neural Networks  Tracking Control Algorithm  Underactuated Mobile Robot  
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 neural network-based visual servoing control for manipulator with unknown output nonlinearities Journal article
INFORMATION SCIENCES, 2018,Volume: 451,Page: 16-33
Authors:  Wang, Fujie;  Liu, Zhi;  Chen, C. L. P.;  Zhang, Yun
Favorite  |  View/Download:12/0  |  Submit date:2018/10/30
Neural network-based control  Adaptive control  Unknown output nonlinearities  Robotic manipulator  Unknown dynamics  
Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2017,Volume: 25,Issue: 5,Page: 1252-1263
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Liu, Yanjun;  Zhang, Yun;  Chen, C. L. Philip
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Adaptive fuzzy control  asymptotic control  multiple input multiple output (MIMO) nonlinear system  unknown control direction  
Global Optimal Locally Weighted Learning-Based Identification Modeling for Azimuth Stern Drive Tug Manoeuvring Conference paper
Authors:  Bai, Weiwei;  Ren, Junsheng;  Che, Chuan;  Li, Tieshan;  Chen, C. L. Philip;  Sun, F;  Liu, H;  Hu, D
Favorite  |  View/Download:2/0  |  Submit date:2018/10/30
Locally Weighted Learning (LWL)  Identification modeling  Azimuth stern drive tug  Global optimal  
Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach Journal article
IEEE Transactions on Fuzzy Systems, 2016,Volume: 24,Issue: 2,Page: 330
Authors:  Wang F.;  Liu Z.;  Zhang Y.;  Chen C.L.P.
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Adaptive quantized control  backstepping  Stochastic nonlinear systems  
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.
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Dynamic surface control  Input-to-state practical stability  Neural network  Small-gain theorem  Stochastic nonlinear system  Unmodeled dynamics  
Adaptive fuzzy dynamic surface control for a class of nonlinear systems with fuzzy dead zone and dynamic uncertainties Journal article
Nonlinear Dynamics, 2014,Volume: 79,Issue: 3,Page: 1693-1709
Authors:  Wang F.;  Liu Z.;  Zhang Y.;  Chen X.;  Chen C.L.P.
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Adaptive control  Dynamic surface control (DSC)  Dynamic uncertainties  Fuzzy dead zone  Nonlinear systems  
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:2/0  |  Submit date:2018/10/30
Adaptive fuzzy control  backsteppng technique  output-feedback  small-gain approach  
Model reference adaptive control with perturbation estimation for a micropositioning system Journal article
IEEE Transactions on Control Systems Technology, 2014,Volume: 22,Issue: 1,Page: 352
Authors:  Xu Q.;  Jia M.
Favorite  |  View/Download:3/0  |  Submit date:2018/10/30
Adaptive Control  Disturbance  Hysteresis  Micro/nanopositioning  Motion Control  Piezoelectric Actuators