Development of Multiple Linguistic Equation Models with Takagi-Sugeno Type Fuzzy Models

被引：0

作者：

Juuso, Esko K. ^{[1
]}

机构：

[1] Univ Oulu, Dept Proc & Environm Engn, Control Engn Lab, Oulu, Finland

来源：

PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年

关键词：

linguistic equations; nonlinear systems; multimodels; Takagi-Sugeno fuzzy models; IDENTIFICATION; SYSTEMS;

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：

Multimodel approaches are widely used with linear submodels, but border areas around submodels are problematic. Special cases of fuzzy linguistic equation models, which can be understood as linguistic Takagi-Sugeno (LTS) type fuzzy models, can be used to solve these problems in many cases. These models use a special nonlinear scaling approach for both inputs and outputs. The LTS models are robust solutions for applications where the same variables can be used for defining operating areas and also in the submodels. No special smoothing algorithms are needed.

引用

页码：1779 / 1784

页数：6

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