Fuzzy State-feedback Control of Uncertain Nonlinear MIMO Systems

被引：0

作者：

Merazka, L. ^{[1
]}

Zouari, F. ^{[2
]}

Boulkroune, A. ^{[1
]}

机构：

[1] Univ Jijel, LAJ, BP 98, Ouled Aissa 180001, Jijel, Algeria

[2] Univ Tunis El Manar, ENIT, LARA, BP 37, Tunis 1002, Tunisia

来源：

2017 6TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC' 17) | 2017年

关键词：

Fuzzy adaptive control; state-feedback; adaptation PI law; matrix SDU decomposition; UNKNOWN CONTROL DIRECTION; ADAPTIVE CONTROLLER; DESIGN;

D O I：

暂无

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 research, we suggest a new fuzzy adaptive state-feedback control strategy for unknown nonlinear multivariable systems for which the input-gains matrix is not necessarily symmetric and is characterized by non-zero leading principle minors. A linearly parameterized fuzzy system is used to appropriately model the uncertainties. When designing our control scheme and studying the stability analysis, a decomposition property of the input-gain matrix is employed. A proportional-integral (PI) adaptation law is suggested to enhance the adaptive parameter convergence. An appropriate Lyapunov function is exploited to study the stability of the corresponding closed-loop control system as well as to derive the adaptation laws. Numerical simulations and a detailed comparison study are given to evaluate the efficiency of our suggested control methodology.

引用

页码：103 / 108

页数：6

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