Informatica Logo

INFORMATICA
International Journal

Main Page
Editorial Board
Abstracting/Indexing
Instructions to Authors
Subscription Information


Contents
Author Index
Papers in Production

INFORMATICA, 2005, Vol. 16, No. 4, 571-586
© Institute of Mathematics and Informatics,

ISSN 0868-4952

Learning Fuzzy Control of Nonlinear Processes

Vytautas KAMINSKAS, Raimundas LIUTKEVICIUS

Vytautas Magnus university Vileikos 8, 44404 Kaunas, Lithuania E-mail: r.liutkevicius@if.vdu.lt

Abstract

Due to high nonlinearities and time-varying dynamics of today's control systems fuzzy learning controllers find appliance in practice. The present paper proposes a method for the synthesis of the learning fuzzy controllers where an expert knowledge about a process is applied to form a learning mechanism that is used to acquire information for the knowledge base of the main fuzzy controller. According to the proposed method an expert knowledge is used to describe how the controller should learn to control rather than to control the process. The results of experiments on heating system and level/pressure system prove the practical relevance of the design strategy of a learning fuzzy controller.

Keywords:

fuzzy control, nonlinear control, learning control, level control, pressure control, temperature control

To preview Lithuanian abstract see full article text

PDFTo preview full article text in PDF format click here

Get Free ReaderYou could obtain free Acrobat Reader from Adobe


TopTop Copyright © INFORMATICA, Vilnius University Institute of Mathematics and Informatics, 2010