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

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...

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Vydáno v:Computational Intelligence in Control and Automation (CICA) s. 17 - 22
Hlavní autoři: Labiod, S., Guerra, T. M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.04.2011
Témata:
Adaptive control
fuzzy control
Fuzzy systems
Nonlinear systems
Nussbaum function
Simulation
Trajectory
ISBN:9781424499021, 142449902X
ISSN:2328-1448
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Shrnutí: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.
ISBN:9781424499021
142449902X
ISSN:2328-1448
DOI:10.1109/CICA.2011.5945744