Adaptive neural control for a class of non-affine pure-feedback nonlinear systems

DOI10.1080/00207179.2017.1393106zbMath1416.93122OpenAlexW2766927544MaRDI QIDQ5382999

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Publication date: 19 June 2019

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2017.1393106

zbMATH Keywords

neural networksdiscontinuous functionpure-feedback systems

Mathematics Subject Classification ID

Feedback control (93B52) Stabilization of systems by feedback (93D15) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40)

Related Items (2)

Neural-network-based adaptive tracking control for nonlinear pure-feedback systems subject to periodic disturbance ⋮ Fuzzy adaptive DSC design for an extended class of MIMO pure-feedback non-affine nonlinear systems in the presence of input constraints

Cites Work

• An ISS-modular approach for adaptive neural control of pure-feedback systems
• Non-affine nonlinear adaptive control of decentralized large-scale systems using neural networks
• Stochastic nonlinear stabilization. I: A backstepping design
• Adaptive Tracking Control for Nonlinear Systems with a Class of Input Nonlinearities
• Distributed adaptive control for time-varying formation tracking of a class of networked nonlinear systems
• Adaptive neural network control for strict-feedback nonlinear systems using backstepping design

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