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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.
Favorite |  | TC[WOS]:157 TC[Scopus]:170 | Submit date:2018/10/30
Adaptive control  discrete-time systems  online approximators  reinforcement learning (RL)  uncertain nonlinear systems.