<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=49548"><dc:title>A fuzzy model of power supply system control</dc:title><dc:creator>Usenik,	Janez	(Avtor)
	</dc:creator><dc:subject>power supply system</dc:subject><dc:subject>energy capacities</dc:subject><dc:subject>demand</dc:subject><dc:subject>fuzzy logic</dc:subject><dc:subject>neural net</dc:subject><dc:subject/><dc:description>In this article, a mathematical model of control of a dynamic system is described; one such system could be a power supply system. Analytical approaches that have been developed to describe the influence of production and stock, i.e. additional capacities, require a hierarchical spatial pattern and demand. Demand is usually an inherently stochastic process, but in this article we simulate it as an output fuzzy variable in a fuzzy system, in which all the input variables are also fuzzy. Furthermore, an interesting use of neural sets is shown, which is presented as an efficient method for the optimisation of the fuzzy system. At the end, a numerical example is given.</dc:description><dc:date>2012</dc:date><dc:date>2015-07-10 12:22:07</dc:date><dc:type>Delo ni kategorizirano</dc:type><dc:identifier>49548</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
