Observer-based indirect model reference fuzzy control system with application to control of chaotic systems

Mojtaba Ahmadieh Khanesar*, Mohammad Teshnehlab, Okyay Kaynak

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper proposes a novel, observer-based, indirect model reference fuzzy control approach for nonlinear systems, expressed in the form of a Takagi Sugeno (TS) fuzzy model. Based on this model, an adaptive observer based, indirect model reference fuzzy controller is developed to deal with external disturbances. In contrast to what is seen in the literature on adaptive observer based TS fuzzy control systems, the proposed method is robust in the existence of bounded external disturbances and it is capable of tracking a reference signal rather than just regulation. The proposed method is simulated on the control of Chua's circuit and it is shown that it is capable of controlling this chaotic system with high performance.

Original languageEnglish
JournalJournal of the Franklin Institute
Volume350
Issue number3
Pages (from-to)419-436
Number of pages18
ISSN0016-0032
DOIs
Publication statusPublished - Apr 2013
Externally publishedYes

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