Based on interval type-2 adaptive fuzzy H∞ tracking controller for SISO time-delay nonlinear systems

被引:10
|
作者
Lin, Tsung-Chih [2 ]
Roopaei, Mehdi [1 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn Fars Res & Sci, Shiraz, Iran
[2] Feng Chia Univ, Dept Elect Engn, Taichung 40724, Taiwan
关键词
Interval type-2 fuzzy; H-infinity; Time-delay systems; FEEDBACK CONTROL DESIGN; DYNAMICAL-SYSTEMS; LOGIC SYSTEMS; LMI APPROACH;
D O I
10.1016/j.cnsns.2010.01.029
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, based on the adaptive interval type-2 fuzzy logic, by adjusting weights, centers and widths of proposed fuzzy neural network (FNN), the modeling errors can be eliminated for a class of SISO time-delay nonlinear systems. The proposed scheme has the advantage that can guarantee the H-infinity tracking performance to attenuate the lumped uncertainties caused by the unmodelled dynamics, the approximation error and the external disturbances. Moreover, the stability analysis of the proposed control scheme will be guaranteed in the sense that all the states and signals are uniformly bounded and arbitrary small attenuation level. The simulation results are demonstrated to show the effectiveness of the advocated design methodology. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:4065 / 4075
页数:11
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