Fuzzy tracking control design using observer-based stabilizing compensator for nonlinear systems

Trihastuti Agustinah*, Achmad Jazidie, Mohammad Nuh, Haiping Du

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper presents fuzzy tracking control design for nonlinear systems. The design methodology is a synthesis of the tracking control theory of linear multi variable control and the Takagi-Sugeno fuzzy model. The observer-based stabilizing compensator type from muItivariable tracking control theory is used, because not all states of the nonlinear system are fully available or measured while Takagi-Sugeno (T-S) fuzzy model is used to represent the dynamic of nonlinear system. The concept of parallel distributed compensation is employed to design fuzzy tracker and fuzzy observer from the T-S fuzzy model. The stability analysis of the designed system is derived via the Lyapunov function. Numerical simulation and real-time experiment are provided to illustrate the tracking control design procedure and performance of the proposed methods for practical application.

Original languageEnglish
Title of host publication2010 International Conference on System Science and Engineering, ICSSE 2010
Pages275-280
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, Taiwan, Province of China
Duration: 1 Jul 20103 Jul 2010

Publication series

Name2010 International Conference on System Science and Engineering, ICSSE 2010

Conference

Conference2010 International Conference on System Science and Engineering, ICSSE 2010
Country/TerritoryTaiwan, Province of China
CityTaipei
Period1/07/103/07/10

Keywords

  • Fuzzy tracking control
  • Observer-based stabilizing compensator
  • Takagi-sugeno fuzzy model

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