research-article

Adaptive neural tracking control for a class of switched uncertain nonlinear systems

Authors:

Xiaolong Zheng,

Yunfei YinAuthors Info & Claims

Neurocomputing, Volume 168, Issue C

Pages 320 - 326

https://doi.org/10.1016/j.neucom.2015.05.094

Published: 30 November 2015 Publication History

Abstract

This paper investigates the problem of adaptive neural tracking control for a class of switched uncertain nonlinear systems in nonstrict-feedback form. By resorting to the adaptive backstepping technique, common Lyapunov function method, variable separation approach and the universal approximation capability of radial basis function neural networks, an adaptive tracking control algorithm is proposed for the considered system. It is shown that the designed controller can ensure that the target signal can be tracked with a small bounded error and the stability of the system can be kept under arbitrary switchings. Finally, simulation studies for a ship maneuvering system under different speeds are presented to show the effectiveness of the proposed method.

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Cited By

Jin YWang FZhao M(2024)Predefined‐time adaptive fuzzy tracking control for switched nonlinear systemsAsian Journal of Control10.1002/asjc.331026:4(1927-1938)Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1002/asjc.3310
Chen L(2018)Asymmetric prescribed performance‐barrier Lyapunov function for the adaptive dynamic surface control of unknown pure‐feedback nonlinear switched systems with output constraintsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.292132:10(1417-1439)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1002/acs.2921
Wang XLi HZhao X(2017)Adaptive neural tracking control for a class of uncertain switched nonlinear systems with unknown backlash-like hysteresis control inputNeurocomputing10.1016/j.neucom.2016.08.094219:C(50-58)Online publication date: 5-Jan-2017
https://dl.acm.org/doi/10.1016/j.neucom.2016.08.094
Show More Cited By

Adaptive neural tracking control for a class of switched uncertain nonlinear systems
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods

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Published In

cover image Neurocomputing

Neurocomputing Volume 168, Issue C

November 2015

1211 pages

ISSN:0925-2312

Issue’s Table of Contents

Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 30 November 2015

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Cited By

Jin YWang FZhao M(2024)Predefined‐time adaptive fuzzy tracking control for switched nonlinear systemsAsian Journal of Control10.1002/asjc.331026:4(1927-1938)Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1002/asjc.3310
Chen L(2018)Asymmetric prescribed performance‐barrier Lyapunov function for the adaptive dynamic surface control of unknown pure‐feedback nonlinear switched systems with output constraintsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.292132:10(1417-1439)Online publication date: 13-Aug-2018
https://dl.acm.org/doi/10.1002/acs.2921
Wang XLi HZhao X(2017)Adaptive neural tracking control for a class of uncertain switched nonlinear systems with unknown backlash-like hysteresis control inputNeurocomputing10.1016/j.neucom.2016.08.094219:C(50-58)Online publication date: 5-Jan-2017
https://dl.acm.org/doi/10.1016/j.neucom.2016.08.094
Mao JHuang SXiang Z(2017)Adaptive tracking control for a class of non-affine switched stochastic nonlinear systems with unmodeled dynamicsNeural Computing and Applications10.1007/s00521-016-2381-x28:1(1069-1081)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s00521-016-2381-x
Jiang P(2016)Multiple-targets tracking control algorithm for a class of nonlinear systems with feedforward compensationsNeurocomputing10.1016/j.neucom.2016.03.003196:C(210-213)Online publication date: 5-Jul-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.03.003
Mao JXiang ZHuang S(2016)Adaptive finite-time tracking control for a class of switched nonlinear systems with unmodeled dynamicsNeurocomputing10.1016/j.neucom.2016.02.035196:C(42-52)Online publication date: 5-Jul-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.02.035

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