Modeling and control of nonlinear systems using novel fuzzy wavelet networks: The output adaptive control approach

被引：12

作者：

Mousavi, Seyyed Hossein ^{[1
]}

Noroozi, Navid ^{[1
]}

Safavi, Ali Akbar ^{[1
]}

Ebadat, Afrooz ^{[1
]}

机构：

[1] Shiraz Univ, Sch Elect & Comp Engn, Shiraz, Iran

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2011年 / 16卷 / 09期

关键词：

Adaptive control; Fuzzy wave-net; H-infinity techniques; State-observer; Self-structuring networks; TRACKING CONTROL; SISO SYSTEMS; DESIGN;

D O I：

10.1016/j.cnsns.2010.12.041

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper proposes an observer based self-structuring robust adaptive fuzzy wave-net (FWN) controller for a class of nonlinear uncertain multi-input multi-output systems. The control signal is comprised of two parts. The first part arises from an adaptive fuzzy wave-net based controller that approximates the system structural uncertainties. The second part comes from a robust H-infinity based controller that is used to attenuate the effect of function approximation error and disturbance. Moreover, a new self structuring algorithm is proposed to determine the location of basis functions. Simulation results are provided for a two DOF robot to show the effectiveness of the proposed method. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：3798 / 3814

页数：17

共 17 条

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