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Adaptive Fuzzy Output Feedback Control for a Class of Nonlinear Systems with Full State Constraints Journal article
IEEE Transactions on Fuzzy Systems, 2018,Volume: 26,Issue: 5,Page: 2607
Authors:  Liu Y.-J.;  Gong M.;  Tong S.;  Chen C.L.P.;  Li D.-J.
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Barrier Lyapunov function  full state constraints  fuzzy adaptive control  nonlinear systems  output feedback control  
Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems with Full State Constraints Journal article
IEEE Transactions on Cybernetics, 2017,Volume: 47,Issue: 10,Page: 3100
Authors:  Li D.-P.;  Li D.-J.;  Liu Y.-J.;  Tong S.;  Chen C.L.P.
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Adaptive control  barrier Lyapunov functions (BLFs)  neural networks (NNs)  nonlinear multiple input multiple output (MIMO) time-delay systems  
Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems with Generalized Actuator Dead Zone Journal article
IEEE Transactions on Fuzzy Systems, 2017,Volume: 25,Issue: 1,Page: 191
Authors:  Lai G.;  Liu Z.;  Zhang Y.;  Chen C.L.P.;  Xie S.;  Liu Y.
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Dead-zone nonlinearity  Fuzzy logic systems (FLSs)  Nonlinear systems  Robust adaptive control  Uncertainties  
Neural network control-based adaptive learning design for nonlinear systems with full-state constraints Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2016,Volume: 27,Issue: 7,Page: 1562
Authors:  Liu Y.-J.;  Li J.;  Tong S.;  Chen C.L.P.
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Adaptive neural control  Barrier Lyapunov function (BLF)  Full-state constraints  Neural networks (NNs)  Nonlinear systems  
Adaptive fuzzy control for a class of stochastic pure-feedback nonlinear systems with unknown hysteresis Journal article
IEEE Transactions on Fuzzy Systems, 2016,Volume: 24,Issue: 1,Page: 140
Authors:  Wang F.;  Liu Z.;  Zhang Y.;  Chen C.L.P.
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Adaptive fuzzy control  nonlinear systems  stochastic pure-feedback  unknown direction hysteresis  
Neural controller design-based adaptive control for nonlinear MIMO systems with unknown hysteresis inputs Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 1,Page: 9
Authors:  Liu Y.-J.;  Tong S.;  Chen C.L.P.;  Li D.-J.
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Adaptive control  Intelligent control  Neural networks (NNs)  Nonlinear control theory  Prandtl-Ishlinskii (PI) hysteresis inputs  
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 7,Page: 1591
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Liu Z.
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Backstepping  consensus tracking control  high-order multiagent systems  radial basis function neural network (RBFNN)  semi-globally uniformly ultimately bounded (SGUUB)  semi-strict feedback  
Fuzzy clustering with the entropy of attribute weights Journal article
Neurocomputing, 2016,Volume: 198,Page: 125
Authors:  Zhou J.;  Chen L.;  Chen C.L.P.;  Zhang Y.;  Li H.-X.
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Attribute-weighted clustering  Feature selection  Kernel method  Maximum-entropy regularization  
Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems with Heterogeneous Nonlinear Dynamics Journal article
IEEE Transactions on Fuzzy Systems, 2016,Volume: 24,Issue: 4,Page: 906
Authors:  Chen C.L.P.;  Ren C.-E.;  Du T.
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Adaptive fuzzy control  consensus tracking control  fuzzy observer  multiagent systems  Second-Order nonlinear systems  
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