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Direct adaptive fuzzy control for nonaffine nonlinear systems with unknown control direction

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2 Author(s)
Salim Labiod ; LAMEL, Faculty of Science and Technology, University of Jijel, 18000, Jijel, Algeria ; Thierry Marie Guerra

This paper deals with direct adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems with unknown control direction. Within this scheme, a fuzzy system is used to generate directly the control input signal without dynamic system estimation. The adjustable parameters in the used fuzzy system are updated using a gradient descent adaptation algorithm that incorporates a Nussbaum-type function to deal with the unknown control direction. 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.

Published in:

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Date of Conference:

27-30 June 2011