Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems under arbitrary switchings

DOI10.1080/00207721.2017.1316880zbMath1372.93186OpenAlexW2607033630MaRDI QIDQ5363213

Publication date: 5 October 2017

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2017.1316880

zbMATH Keywords

common Lyapunov function backstepping control adaptive neural control prescribed performance control (PPC)stochastic nonlinear switched systems

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)

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Adaptive neural smooth finite-time controller for large-scale stochastic nonlinear state-constrained systems with feasibility removal and time delays ⋮ Output regulation of switched stochastic systems with sampled-data control ⋮ Adaptive tracking control of stochastic switched nonlinear systems with unknown dead‐zone output ⋮ Adaptive neural decentralised control for switched interconnected nonlinear systems with backlash-like hysteresis and output constraints ⋮ Design of globally stabilising switching control law for a type of nonlinear systems ⋮ Finite-time adaptive neural control for uncertain nonlinear time-delay systems with actuator delay and full-state constraints

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