T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

This paper investigates the anti-disturbance tracking control problem for a class of MIMO systems with unknown nonlinear disturbances. Different from those classical anti-disturbance results, the typical T-S fuzzy models are firstly considered to describe the nonlinear disturbances. The disturbance observer based on T-S exogenous systems is thus presented to estimate the nonlinear disturbances. By integrating the PI-type control algorithm with the estimation of disturbance, a composite controller based on convex optimization theory is designed to ensure the system stability and convergence of the tracking error to zero. Meanwhile, the satisfactory disturbance estimation and attenuation performance can also be guaranteed. Finally, a numerical example for flight control systems is included to illustrate the effectiveness of the theoretical results.
Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference (CCC2015), July 28-30, 2015, Hangzhou, China
PublisherIEEE
Pages628-633
Number of pages6
ISBN (Print)9789881563897
DOIs
Publication statusPublished - 2015
EventChinese Control Conference -
Duration: 28 Jul 2015 → …

Publication series

Name
ISSN (Print)1934-1768

Conference

ConferenceChinese Control Conference
Period28/07/15 → …

Keywords

  • MIMO systems
  • control theory

Fingerprint

Dive into the research topics of 'T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances'. Together they form a unique fingerprint.

Cite this