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Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems Journal article
Liu Y.-J., Tang L., Tong S., Chen C.L.P., Li D.-J.. Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(1), 165.
Authors:  Liu Y.-J.;  Tang L.;  Tong S.;  Chen C.L.P.;  Li D.-J.
Favorite | TC[WOS]:202 TC[Scopus]:216 | Submit date:2018/10/30
Adaptive Control  Discrete-time Systems  Online Approximators  Reinforcement Learning (Rl)  Uncertain Nonlinear Systems.