Adaptive neural network command filtered backstepping control of pure‐feedback systems in presence of full state constraints

DOI10.1002/acs.2989zbMath1418.93119OpenAlexW2938135876MaRDI QIDQ5224199

Yuehui Ji, Hailiang Zhou, Qun Zong

Publication date: 19 July 2019

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2989

zbMATH Keywords

adaptive neural network controlnonlinear mappingcommand filtered backstepping controloutput and state constraintspure-feedback system

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

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Finite-time adaptive fuzzy command filtered control for nonlinear systems with indifferentiable non-affine functions, Observer‐based consensus tracking control for a class of nonstrict‐feedback nonlinear multi‐agent systems with prescribed performance and input quantization, Command-filtered backstepping robust adaptive emotional control of strict-feedback nonlinear systems with mismatched uncertainties

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