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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Hong-Chi Ku, Chung-Chun Kung, Wei-Yin Chen
Format: Tagungsbericht
Sprache:eng
Schlagworte:
cluster validity criterion
Equations
Mathematical model
T-S fuzzy bilinear model
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2010.5641690