Fuzzy tracking control for a class of nonlinear systems

Yan Hua Wang*, Xi Qin He, Qiu Fu Sha

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Based on fuzzy T-S model and H model reference tracking performance, a class of fuzzy systems in the existence of parameter perturbations and external disturbances is studied. First, the Takagi and Surgeon (T-S) fuzzy model is employed to represent a nonlinear system. Next, based on the fuzzy model, a fuzzy observer-based fuzzy controller is developed to reduce the tracking error as small as possible for all bounded reference inputs. The final, control gains and observer gains will be found by solving linear matrix inequation (LMI), so, the H tracking performance can be achieved for a prescribed attenuation level.

Original languageEnglish
Pages (from-to)131-135
Number of pages5
JournalDongbei Daxue Xuebao/Journal of Northeastern University
Volume28
Issue numberSUPPL. 1
Publication statusPublished - Jul 2007
Externally publishedYes

Keywords

  • Fuzzy tracking control
  • LMI
  • T-S fuzzy model

Fingerprint

Dive into the research topics of 'Fuzzy tracking control for a class of nonlinear systems'. Together they form a unique fingerprint.

Cite this