MULTILAYER FUZZY CONTROL OF MULTIVARIABLE SYSTEMS BY ACTIVE DECOMPOSITION

Authors
Citation
Ae. Gegov, MULTILAYER FUZZY CONTROL OF MULTIVARIABLE SYSTEMS BY ACTIVE DECOMPOSITION, International journal of intelligent systems, 12(1), 1997, pp. 83-103
Citations number
18
Categorie Soggetti
System Science","Controlo Theory & Cybernetics","Computer Sciences, Special Topics","Computer Science Artificial Intelligence
ISSN journal
08848173
Volume
12
Issue
1
Year of publication
1997
Pages
83 - 103
Database
ISI
SICI code
0884-8173(1997)12:1<83:MFCOMS>2.0.ZU;2-U
Abstract
The article considers the application of multilayer control theory in multivariable fuzzy systems. Some definitions and theorems with regard to such systems are given. Multilayer control algorithms, based on ac tive decomposition of the original system into layers, are presented a nd illustrated by numerical examples. The algorithms use sets of trans forming fuzzy relations, leading to a unilayer solution when added to the original fuzzy relations. The solution is dependent on a subset of state variables as the other variables are taken into account implici tly. It is shown that the number of measured variables and fuzzy relat ions is significantly reduced and thus real-time measurement and contr ol implementation is faciliated. (C) 1997 John Wiley & Sons, Inc.