Integral reinforcement learning based event-triggered control with input saturation

DOI10.1016/j.neunet.2020.07.016zbMath1478.93423OpenAlexW3045930817WikidataQ98283224 ScholiaQ98283224MaRDI QIDQ2057721

Biao Luo, Derong Liu, Shan Xue

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.2020.07.016

zbMATH Keywords

neural networksinput saturationevent-triggered controladaptive dynamic programmingintegral reinforcement learning

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Dynamic programming (90C39) Discrete event control/observation systems (93C65) Networked control (93B70)

Related Items (4)

Distributed optimized dynamic event-triggered control for unknown heterogeneous nonlinear MASs with input-constrained ⋮ Reinforcement learning for robust stabilization of nonlinear systems with asymmetric saturating actuators ⋮ Event-triggered-based online integral reinforcement learning for optimal control of unknown constrained nonlinear systems ⋮ Robust dynamic event‐triggered control of saturated nonlinear systems using reinforcement learning

Cites Work

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