Identification of T-S fuzzy bilinear model and its applications

Identification of T-S fuzzy bilinear model and its applications

The objective of this paper is to use the T-S fuzzy bilinear model to describe nonlinear system with high accuracy and with as fewer IF-THEN rules as possible via input and output data which collect from original nonlinear system. A new cluster validity criterion suitable for the bilinear models wil...

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Hauptverfasser: Hong-Chi Ku, Chung-Chun Kung, Wei-Yin Chen
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Sprache:eng
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cluster validity criterion
Equations
Mathematical model
T-S fuzzy bilinear model
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Chung-Chun Kung
Wei-Yin Chen
description The objective of this paper is to use the T-S fuzzy bilinear model to describe nonlinear system with high accuracy and with as fewer IF-THEN rules as possible via input and output data which collect from original nonlinear system. A new cluster validity criterion suitable for the bilinear models will be presented. The simulation example is provided to demonstrate the accuracy of the fuzzy bilinear model.
doi_str_mv 10.1109/ICSMC.2010.5641690
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subjects cluster validity criterion
Equations
Mathematical model
T-S fuzzy bilinear model
title Identification of T-S fuzzy bilinear model and its applications
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