Decentralized adaptive neural control for high-order interconnected stochastic nonlinear time-delay systems with unknown system dynamics

DOI10.1016/j.neunet.2017.12.013zbMath1441.93151OpenAlexW2782512444WikidataQ48502148 ScholiaQ48502148MaRDI QIDQ2179321

Xunde Dong, Wenjie Si, Feifei Yang

Publication date: 12 May 2020

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2017.12.013

zbMATH Keywords

neural networksLyapunov-Krasovskii functionalsdecentralized adaptive controlhigh-order systemsstochastic nonlinear time-delay systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Stochastic systems in control theory (general) (93E03) Large-scale systems (93A15) Delay control/observation systems (93C43)

Related Items (6)

Finite-time fuzzy output-feedback control for \(p\)-norm stochastic nonlinear systems with output constraints ⋮ Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning ⋮ Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems ⋮ Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems ⋮ Fixed-time tracking control for high-order nonlinear systems with unknown time-varying input delay ⋮ Decentralised adaptive neural connectively finite-time control for a class of p-normal form large-scale nonlinear systems

Cites Work

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