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
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.