Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties

This paper proposes a novel robust adaptive control strategy for partially unknown continuous-time nonlinear systems subject to unmatched uncertainties. Initially, the robust nonlinear control problem is converted into a nonlinear optimal control problem by constructing an appropriate value function...

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Bibliographic Details

Published in:	Information sciences Vol. 463-464; pp. 307 - 322
Main Authors:	Yang, Xiong, He, Haibo, Wei, Qinglai, Luo, Biao
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.10.2018
Subjects:	Adaptive dynamic programming Neural networks Optimal control Reinforcement learning Robust control Unmatched uncertainty Robust control Unmatched uncertainty Adaptive dynamic programming Neural networks Optimal control Reinforcement learning
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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