Fuzzy adaptive control for a class of nonlinear systems with unknown control gain

Author

Labiod, Salim ; Guerra, Thierry Marie

Author_Institution

Fac. of Sci. & Eng., Univ. of Jijel, Jijel, Algeria

fYear

2011

fDate

11-15 April 2011

Firstpage

17

Lastpage

22

Abstract

This paper deals with direct adaptive control using fuzzy systems of a class of uncertain SISO nonlinear systems with unknown control gain sign. Within this scheme, a fuzzy system is used to generate directly the control input signal without dynamic system estimation, and the Nussbaum-type function is used to deal with the unknown control gain sign. The stability of the closed-loop system is performed using a Lyapunov approach. Simulation results are provided to verify the effectiveness of the proposed design.

Keywords

Lyapunov methods; adaptive control; control system synthesis; fuzzy set theory; fuzzy systems; nonlinear control systems; Lyapunov approach; Nussbaum-type function; closed-loop system; fuzzy adaptive control; fuzzy system; uncertain SISO nonlinear systems; unknown control gain; Adaptive control; Fuzzy systems; Nonlinear systems; Simulation; Trajectory; Nonlinear systems; Nussbaum function; adaptive control; fuzzy control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-9902-1

Type

conf

DOI

10.1109/CICA.2011.5945744

Filename

5945744