International Journal of Nonlinear Analysis and Applications

Stability analysis and adaptive tracking control for a class of switched nonlinear systems based on a nonlinear disturbance observe

Document Type : Research Paper

Authors

Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Mazandaran, Iran

Abstract

This paper is concerned with developing an adaptive method on the basis of a nonlinear disturbance observer (NDO) in order to control a switched nonlinear system in the presence of unknown functions and external disturbances, and under arbitrary switching signals. The proposed approach employs an adaptive backstepping technique, NDO, a fuzzy logic system (FLS), and the particle swarm optimization (PSO) algorithm. Based on a common Lyapunov function (CLF), the adaptive backstepping technique is used to design a nonlinear state-feedback controller. Also, NDO and FLS are stated to estimate the disturbances and the unknown nonlinear functions, respectively. In addition, to improve the performance of the closed-loop system, the PSO algorithm is used to optimize the controller parameters. Finally, simulation examples are taken into account to demonstrate the effectiveness of the proposed strategy.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 4
April 2024
Pages 111-124
  • Receive Date: 03 March 2023
  • Revise Date: 03 June 2023
  • Accept Date: 15 June 2023