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Author:陳俊龍
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Source Publication:IEEE Transactions on Neural Networks and Learning Systems
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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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Submit date:2018/10/30
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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View/Download:3/0
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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.
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Submit date:2018/10/30
Consensus control
Lyapunov-Krasovskii functional
Neural networks (NNS)
Nonlinear multiagent systems
Time delay