Approximate modeling of a class of nonlinear oscillators using Takagi-Sugeno fuzzy systems and its application to control design

被引：0
|
作者：
Schulte, Horst [1 ]
机构：
[1] Univ Kassel, Lab Control Engn & Syst Dynam RTS, Dept Mech Engn, D-34109 Kassel, Germany
来源：
2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8 | 2005年
关键词：
fuzzy modeling; mechanical systems; control oriented models; approximate analysis;
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：
An effective modeling of nonlinearities and the analysis of the influence on the closed-loop dynamics in mechatronic systems such as servo systems is often crucial for high performance applications. For this we propose an analytical method of approximate modeling of a class of nonlinear mechanical oscillators using fuzzy systems. The emphasis in this work will be on a systematic description of the construction of fuzzy systems from known nonlinear models and an error analysis as a function of model complexity. Finally, its application as a model framework for an effective gain-scheduling control design method will be discussed.
引用
收藏
页码：3387 / 3392
页数：6
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