Event-driven \(H_\infty\) control with critic learning for nonlinear systems

DOI10.1016/J.NEUNET.2020.08.004zbMath1478.93428DBLPjournals/nn/YangGZ20OpenAlexW3050803326WikidataQ99622461 ScholiaQ99622461MaRDI QIDQ2057743

Xiong Yang, Zhong-Ke Gao, Jinhui Zhang

Publication date: 7 December 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.08.004

zbMATH Keywords

reinforcement learningneural network controladaptive critic designscritic learningevent-driven \(H_\infty\) control

Mathematics Subject Classification ID

Noncooperative games (91A10) 2-person games (91A05) Nonlinear systems in control theory (93C10) (H^infty)-control (93B36) Discrete event control/observation systems (93C65) Networked control (93B70)

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Optimal tracking control based on reinforcement learning value iteration algorithm for time-delayed nonlinear systems with external disturbances and input constraints ⋮ Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems

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