Regular Papers

International Journal of Control, Automation and Systems 2021; 19(12): 4056-4066

Published online September 2, 2021

https://doi.org/10.1007/s12555-020-0883-x

© The International Journal of Control, Automation, and Systems

Adaptive Fuzzy Event-triggered Control for a Class of Switched Nonlinear Systems with Dead Zone Nonlinearity

Ruitong Wu, Kunting Yu, Yongming Li*, and Wei Liu

Liaoning University of Technology

Abstract

In this paper, an adaptive fuzzy event-triggered control scheme is investigated for a class of nonlinear switched systems with dead zone nonlinearity. Fuzzy logic systems are employed in identifying unknown nonlinear functions. Then, the dynamic surface control (DSC) method is exploited to overcome the problem of “explosion of complexity” in traditional adaptive backstepping recursive design process. Based on the Lyapunov stability theory and the backstepping technique with the event-triggered mechanism, the proposed control method proves that all the closed-loop system signals are bounded, and the tracking error converges to a small neighborhood of the origin under the arbitrary switching. Simultaneously, this control method proves that Zeno behavior can be eliminated. The simulation results also illustrate the validity of the developed control method and theorem.

Keywords Adaptive fuzzy control, backstepping technique, dead zone nonlinearity, event-triggered control, nonlinear switched systems

Article

Regular Papers

International Journal of Control, Automation and Systems 2021; 19(12): 4056-4066

Published online December 1, 2021 https://doi.org/10.1007/s12555-020-0883-x

Copyright © The International Journal of Control, Automation, and Systems.

Adaptive Fuzzy Event-triggered Control for a Class of Switched Nonlinear Systems with Dead Zone Nonlinearity

Ruitong Wu, Kunting Yu, Yongming Li*, and Wei Liu

Liaoning University of Technology

Abstract

In this paper, an adaptive fuzzy event-triggered control scheme is investigated for a class of nonlinear switched systems with dead zone nonlinearity. Fuzzy logic systems are employed in identifying unknown nonlinear functions. Then, the dynamic surface control (DSC) method is exploited to overcome the problem of “explosion of complexity” in traditional adaptive backstepping recursive design process. Based on the Lyapunov stability theory and the backstepping technique with the event-triggered mechanism, the proposed control method proves that all the closed-loop system signals are bounded, and the tracking error converges to a small neighborhood of the origin under the arbitrary switching. Simultaneously, this control method proves that Zeno behavior can be eliminated. The simulation results also illustrate the validity of the developed control method and theorem.

Keywords: Adaptive fuzzy control, backstepping technique, dead zone nonlinearity, event-triggered control, nonlinear switched systems

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

Stats or Metrics

Share this article on

  • line

Related articles in IJCAS

IJCAS

eISSN 2005-4092
pISSN 1598-6446