Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone

DOI10.1007/s11432-012-4779-0zbMath1336.93096OpenAlexW2147556634MaRDI QIDQ893697

Lei Liu, Yan-Jun Liu, Shao Cheng Tong

Publication date: 20 November 2015

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-012-4779-0

zbMATH Keywords

adaptive controlbackstepping designuncertain nonlinear systemsRBF neural networknon-symmetric dead-zone

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

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Cites Work

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• Direct Adaptive Control for a Class of MIMO Nonlinear Systems Using Neural Networks
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• Discrete-time neural net controller for a class of nonlinear dynamical systems

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