Title :
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
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;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9902-1
DOI :
10.1109/CICA.2011.5945744
