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Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems with Unknown Nonaffine Dead-Zone Input Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Substructural Regularization with Data-Sensitive Granularity for Sequence Transfer Learning Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 6,Page: 2545-2557
Authors:  Sun S.;  Liu H.;  Meng J.;  Chen C.L.P.;  Yang Y.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Data-sensitive granularity  hidden Markov model (HMM)  relative entropy (RE)  sequence transfer learning  substructural regularization  
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.
Favorite  |  View/Download:9/0  |  Submit date:2018/10/30
Adaptive control  discrete-time  input nonlinearity  neural networks  uncertain nonlinear systems  
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.
View  |  Adobe PDF(1028Kb)  |  Favorite  |  View/Download:316/40  |  Submit date:2018/10/30
Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay