Fuzzy model reference adaptive control

被引：89

作者：

Goléa, N ^{[1
]}

Goléa, A

Benmahammed, K

机构：

[1] Oum El Bouaghi Univ, Inst Elect Engn, Oum El Bouaghi 04000, Algeria

[2] Setif Univ, Fac Engn Sci, Dept Elect, Setif 19000, Algeria

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2002年 / 10卷 / 04期

关键词：

adaptive control; fuzzy control; model reference; robustness; stability; Takagi-Seguno (TS) fuzzy system;

D O I：

10.1109/TFUZZ.2002.800694

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 investigates a fuzzy model reference adaptive controller (FMRAC) for continuous-time multiple-input-multiple-output (MIMO) nonlinear systems. The proposed adaptive scheme uses a Takagi-Seguno (TS) fuzzy adaptive system, which allows for the inclusion of a priori information in terms of qualitative knowledge about the plant operating points or analytical regulators (e.g., state feedback) for those operating points. A proportional-integral update law is used to obtain a fast parameters adaptation. Stability and robustness of this adaptive scheme are established using Lyapunov stability tools. The simulation results, for a two-link robot, confirm the performance of the proposed approach.

引用

页码：436 / 444

页数：9

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