Adaptive Fuzzy Control for a Class of Multivariable Nonlinear Systems with Unknown Control Direction

被引：5
|
作者：
Labiod, Salim [1 ]
Guerra, Thierry Marie [2 ]
机构：
[1] Univ Jijel, Fac Sci & Technol, LAJ, Jijel, Algeria
[2] Univ Valenciennes & Hainaut Cambresis, UMR CNRS 8201, LAMIH, F-59313 Valenciennes 9, France
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Adaptive control; Fuzzy systems; Nonlinear systems; Control direction; Lyapunov stability;
D O I：
10.1016/j.ifacol.2017.08.666
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a direct adaptive fuzzy control scheme is presented for a class of uncertain MIMO nonlinear systems with unknown sign of the control gain matrix. Within this scheme, fuzzy systems are employed to approximate an unknown ideal controller which can achieve the control objectives. The free parameters of the used fuzzy systems are adjusted online using the error between the unknown ideal controller and the fuzzy controller. Unlike previous works, the Nussbaum function technique is not used to deal with the unknown sign of the control gain matrix. In fact, in this paper, the unknown control direction is considered as an unknown constant parameter and it is estimated online by an appropriate adaptation law. The stability of the closed-loop system is analyzed using a Lyapunov approach. Simulation results are given to demonstrate the effectiveness of the proposed control design. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：2995 / 3000
页数：6
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