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Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 11,Page: 3747-3757
Authors:  Liu, Yan-Jun;  Tong, Shaocheng;  Chen, C. L. Philip;  Li, Dong-Juan
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Adaptive control  barrier Lyapunov functionals (BLFs)  neural network (NN) control  uncertain nonlinear systems  
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 8,Page: 2151-2160
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Liu, Yan-Jun;  Liu, Zhi
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Consensus control  external disturbance  neural networks (NNs)  nonlinear multiagent systems  state delay  
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  
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  
Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2015,Volume: 26,Issue: 1,Page: 165
Authors:  Liu Y.-J.;  Tang L.;  Tong S.;  Chen C.L.P.;  Li D.-J.
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Adaptive control  discrete-time systems  online approximators  reinforcement learning (RL)  uncertain nonlinear systems.  
Adaptive NN controller design for a class of nonlinear MIMO discrete-time systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2015,Volume: 26,Issue: 5,Page: 1007
Authors:  Liu Y.-J.;  Tang L.;  Tong S.;  Chen C.L.P.
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Adaptive control  discrete-time  input nonlinearity  neural networks  uncertain nonlinear systems  
Adaptive neural control for dual-arm coordination of humanoid robot with unknown nonlinearities in output mechanism Journal article
IEEE Transactions on Cybernetics, 2015,Volume: 45,Issue: 3,Page: 521
Authors:  Liu Z.;  Chen C.;  Zhang Y.;  Chen C.L.P.
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Dual-arm coordination  humanoid robot  motion/force  neural network  unknown output nonlinearity  
Neural-network-based adaptive leader-following consensus control for second-order non-linear multi-agent systems Journal article
IET Control Theory and Applications, 2015,Volume: 9,Issue: 13,Page: 1927
Authors:  Wen G.-X.;  Chen C.L.P.;  Liu Y.-J.;  Liu Z.
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The bounded capacity of fuzzy neural networks (FNNs) via a new fully connected neural fuzzy inference system (F-CONFIS) with its applications Journal article
IEEE Transactions on Fuzzy Systems, 2014,Volume: 22,Issue: 6,Page: 1373-1386
Authors:  Wang J.;  Wang C.-H.;  Chen C.L.P.
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Capacity of neural networks  fuzzy neural networks (FNNs)  fuzzy system  Iris data  neural networks  
A new learning algorithm for a fully connected neuro-fuzzy inference system Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 10,Page: 1741-1757
Authors:  Chen C.L.P.;  Wang J.;  Wang C.-H.;  Chen L.
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Fully Connected Neuro-fuzzy Inference Systems (F-confis)  Fuzzy Logic  Fuzzy Neural Networks  Gradient Descent  Neural Networks (Nns)  Neuro-fuzzy System  Optimal Learning