Direct Adaptive Fuzzy Control for Nonaffine Nonlinear Systems with Unknown Control Direction

被引：0
|
作者：
Labiod, Salim [1 ]
Guerra, Thierry Marie [2 ]
机构：
[1] Univ Jijel, Fac Sci & Technol, LAMEL, Jijel 18000, Algeria
[2] Univ Valenciennes Hainaut Cambresis, UMR CNRS 8530, LAMIH, F-59313 Valenciennes, France
来源：
IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年
关键词：
fuzzy control; adaptive control; nonaffine nonlinear systems; Nussbaum function; NEURAL-CONTROL; DELAY SYSTEMS; KNOWLEDGE; DESIGN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2870 / 2875
页数：6
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