Regular Papers

International Journal of Control, Automation and Systems 2023; 21(7): 2202-2209

Published online May 5, 2023

https://doi.org/10.1007/s12555-021-0953-8

© The International Journal of Control, Automation, and Systems

Adaptive Fuzzy Tracking Control for Pure-feedback Systems With Event-triggered Strategy

Lian Chen* and QingWang

Beihang University

Abstract

This paper considers an event-triggered tracking control problem of uncertain pure-feedback systems with adaptive fuzzy approximation technology. Unlike existing research, this paper first directly introduces affine variables and an auxiliary control signal to solve the non-affine problem of pure feedback systems. Next, fuzzy logic systems (FLSs) are trained to model some unknown functions. Then, a new fuzzy adaptive event-triggered controller is proposed for uncertain pure-feedback systems by integrating an improved event-triggered technique with dynamic surface control (DSC) framework. Stability analysis shows that the proposed control method guarantees all closedloop system signals are semi-globally uniformly ultimately bounded. The main innovations of this paper are that the strict assumptions for pure-feedback systems are circumvented, and a new event-triggered mechanism that considers higher tracking accuracy and lower communication load is developed. Finally, a comparison simulation and a practical application are provided to show the feasibility and effectiveness of the presented controller.

Keywords Adaptive fuzzy control, dynamic surface control, event-triggered control, pure-feedback systems.

Article

Regular Papers

International Journal of Control, Automation and Systems 2023; 21(7): 2202-2209

Published online July 1, 2023 https://doi.org/10.1007/s12555-021-0953-8

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

Adaptive Fuzzy Tracking Control for Pure-feedback Systems With Event-triggered Strategy

Lian Chen* and QingWang

Beihang University

Abstract

This paper considers an event-triggered tracking control problem of uncertain pure-feedback systems with adaptive fuzzy approximation technology. Unlike existing research, this paper first directly introduces affine variables and an auxiliary control signal to solve the non-affine problem of pure feedback systems. Next, fuzzy logic systems (FLSs) are trained to model some unknown functions. Then, a new fuzzy adaptive event-triggered controller is proposed for uncertain pure-feedback systems by integrating an improved event-triggered technique with dynamic surface control (DSC) framework. Stability analysis shows that the proposed control method guarantees all closedloop system signals are semi-globally uniformly ultimately bounded. The main innovations of this paper are that the strict assumptions for pure-feedback systems are circumvented, and a new event-triggered mechanism that considers higher tracking accuracy and lower communication load is developed. Finally, a comparison simulation and a practical application are provided to show the feasibility and effectiveness of the presented controller.

Keywords: Adaptive fuzzy control, dynamic surface control, event-triggered control, pure-feedback 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