Fuzzy feedback linearizing controller and its equivalence with the fuzzy nonlinear internal model control structure

• Autorzy: Reda Boukezzoula , Sylvie Galichet , Laurent Foulloy
• Języki publikacji: EN

Abstrakty

EN

This paper examines the inverse control problem of nonlinear systems with stable dynamics using a fuzzy modeling approach. Indeed, based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear system is represented by a Takagi-Sugeno (TS) fuzzy system, which is then inverted for designing a fuzzy controller. As an application of the proposed inverse control methodology, two popular control structures, namely, feedback linearization and Nonlinear Internal Model Control (NIMC) are investigated. Moreover, the paper points out that, under some conditions, both of the control structures are equivalent and naturally implement a Smith predictor in the presence of time delays.

Słowa kluczowe

EN

fuzzy control; internal model control; inverse control; feedback linearization

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2007
• Tom: 17
• Numer: 2
• Strony: 233-248

Daty

wydano

2007

poprawiono

2006-02-22

otrzymano

2006-11-03

(nieznana)

2006-12-15

Twórcy

autor

Reda Boukezzoula

• Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, Université de Savoie, B.P. 80439, 74944 Annecy le Vieux Cedex, France

autor

Sylvie Galichet

• Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, Université de Savoie, B.P. 80439, 74944 Annecy le Vieux Cedex, France

autor

Laurent Foulloy

• Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, Université de Savoie, B.P. 80439, 74944 Annecy le Vieux Cedex, France

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