State observer-based adaptive fuzzy output-feedback control for a class of uncertain nonlinear systems

  • Authors:

  • Yongfu Wang;Tianyou Chai;Yimin Zhang

  • Affiliations:

  • School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 11004, China;Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Shenyang, Liaoning 11004, China;School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning 11004, China

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.07

Visualization

Abstract

This paper aims to develop state observer-based adaptive fuzzy control techniques for controlling a class of uncertain nonlinear systems with bounded external disturbances. An adaptive fuzzy observer is proposed to estimate the system state variables. It is shown that the observation errors obtained from the observer are uniformly ultimately bounded. Applying the estimated system state for design of an output-feedback controller, the uniformly ultimate boundedness of the tracking errors for the resulting closed-loop system can be guaranteed. A typical robot arm system is employed in our simulation studies, and the results demonstrate the usefulness and effectiveness of the proposed techniques for controlling nonlinear systems with bounded external disturbances.