Adaptive fuzzy dynamic surface control for uncertain nonlinear systems in pure-feedback form with input and state constraints using noisy measurements

DOI10.1080/00207721.2018.1543479zbMath1482.93331OpenAlexW2899700298MaRDI QIDQ5025818

Toshio Yoshimura

Publication date: 7 February 2022

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

Full work available at URL: https://doi.org/10.1080/00207721.2018.1543479

zbMATH Keywords

fuzzy logic systeminput and state constraintsweighted least squares estimatorsimplified extended single input rule modulesadaptive fuzzy dynamic surface controluncertain nonlinear pure-feedback system

Mathematics Subject Classification ID

Feedback control (93B52) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Related Items (4)

Neural-network-based adaptive tracking control for nonlinear pure-feedback systems subject to periodic disturbance ⋮ EXPLORING THE ASSET–LIABILITY RATIO FINANCIAL MANAGEMENT OF SMALL AND MEDIUM-SIZED ENTERPRISES UNDER DYNAMIC NONLINEAR SYSTEM ⋮ Adaptive fuzzy control for uncertain switched discrete-time nonlinear systems in a pure-feedback form with state constraints ⋮ Adaptive interval type-2 fuzzy control for multi-legged underwater robot with input saturation and full-state constraints

Cites Work

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