{"?xml":{"@version":"1.0"},"edm:RDF":{"@xmlns:dc":"http://purl.org/dc/elements/1.1/","@xmlns:edm":"http://www.europeana.eu/schemas/edm/","@xmlns:wgs84_pos":"http://www.w3.org/2003/01/geo/wgs84_pos","@xmlns:foaf":"http://xmlns.com/foaf/0.1/","@xmlns:rdaGr2":"http://rdvocab.info/ElementsGr2","@xmlns:oai":"http://www.openarchives.org/OAI/2.0/","@xmlns:owl":"http://www.w3.org/2002/07/owl#","@xmlns:rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#","@xmlns:ore":"http://www.openarchives.org/ore/terms/","@xmlns:skos":"http://www.w3.org/2004/02/skos/core#","@xmlns:dcterms":"http://purl.org/dc/terms/","edm:WebResource":[{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-FQ41MRSX/b8ef5a14-5088-42a7-8c21-d4b6dbcc04cf/PDF","dcterms:extent":"463 KB"},{"@rdf:about":"http://www.dlib.si/stream/URN:NBN:SI:DOC-FQ41MRSX/91993514-f41f-4958-89ef-33c31d128edb/TEXT","dcterms:extent":"26 KB"}],"edm:TimeSpan":{"@rdf:about":"2013-2025","edm:begin":{"@xml:lang":"en","#text":"2013"},"edm:end":{"@xml:lang":"en","#text":"2025"}},"edm:ProvidedCHO":{"@rdf:about":"URN:NBN:SI:DOC-FQ41MRSX","dcterms:isPartOf":[{"@rdf:resource":"https://www.dlib.si/details/URN:NBN:SI:SPR-XAYCFMST"},{"@xml:lang":"sl","#text":"JET on-line"},{"@xml:lang":"sl","#text":"Journal of energy technology"}],"dcterms:issued":"2015","dc:creator":"Usenik, Janez","dc:format":[{"@xml:lang":"sl","#text":"letnik:8"},{"@xml:lang":"sl","#text":"številka:iss. 1"},{"@xml:lang":"sl","#text":"str. 35-49"}],"dc:identifier":["ISSN:1855-5748","COBISSID:84579841","URN:URN:NBN:SI:doc-FQ41MRSX"],"dc:language":"en","dc:publisher":{"@xml:lang":"sl","#text":"Fakulteta za energetiko"},"dc:subject":[{"@xml:lang":"en","#text":"control"},{"@xml:lang":"sl","#text":"dinamični modeli"},{"@xml:lang":"en","#text":"dynamic system"},{"@xml:lang":"en","#text":"fuzzy reasoning"},{"@xml:lang":"sl","#text":"mehki model upravljanja"},{"@xml:lang":"sl","#text":"nadzor"},{"@xml:lang":"en","#text":"neuro-fuzzy training"},{"@xml:lang":"en","#text":"random process"},{"@xml:lang":"sl","#text":"upravljanje"}],"dcterms:temporal":{"@rdf:resource":"2013-2025"},"dc:title":{"@xml:lang":"sl","#text":"System control in conditions of fuzzy dynamic processes| Upravljanje sistema v pogojih mehkih dinamičnih procesov|"},"dc:description":[{"@xml:lang":"sl","#text":"In this article, a mathematical model of controlling the system in conditions of fuzzy processes is presented. Such a system can also be a power supply system. Analytical approaches that can be used to describe the mutual impact of output and stocks (additional capacities) on hierarchically distributed occurrence/usage/variation or demand already exist. We add dynamics to the system with the use of continuous and discrete dynamic processes, which are of a random (stochastic) form. The dynamic discrete model of control for this system is built with a system of difference equations, and the dynamic continuous model is built with a system of differential equations. These systems of equations can be solved with a one-part z-transform in discrete situations in with Laplace transform in the continuous systems. Fuzzy system control follows a continuous and discrete stochastic mathematical closed-loop model of control of stocks (additional capacities) in production systems. The fuzzy model is demonstrated with a numerical example"},{"@xml:lang":"sl","#text":"V članku je predstavljeno upravljanja sistema v pogojih mehkih dinamičnih procesov. Takšen sistem je lahko tudi energetski sistem. Razviti so analitični pristopi, s katerimi opišemo medsebojni vpliv proizvodnje ter zalog (dodatnih kapacitet) na hierarhično porazdeljeno prostorsko dogajanje/ porabo/spremembo oziroma povpraševanje. V sistem vpeljemo dinamiko, kar storimo z uporabo zveznih in diskretnih dinamičnih procesov, ki so zaradi zahteve po čim tesnejšem približku opisovanja dejanskega sistema, slučajnostne (stohastične) narave. Dinamični diskretni model upravljanja takšnega sistema izgradimo s sistemom diferenčnih enačb, zvezni model pa opišemo s sistemom diferencialnih enačb. Za reševanje uporabimo enostrano z-transformacijo pri diskretnih sistemih in Laplaceovo transformacijo pri zveznih sistemih. Mehko upravljanje sistema izhaja iz zveznega in diskretnega slučajnostnega matematičnega modela upravljanja zalog v proizvodnem sistemu. V članku je prikazan mehki pristop, ki ga vpeljemo z uporabo dvofaznega sistema mehkega sklepanja in pomeni približek zaprtozančnemu sistemu upravljanja. Mehki algoritem je ilustriran z numeričnim primerom"}],"edm:type":"TEXT","dc:type":[{"@xml:lang":"sl","#text":"znanstveno časopisje"},{"@xml:lang":"en","#text":"journals"},{"@rdf:resource":"http://www.wikidata.org/entity/Q361785"}]},"ore:Aggregation":{"@rdf:about":"http://www.dlib.si/?URN=URN:NBN:SI:DOC-FQ41MRSX","edm:aggregatedCHO":{"@rdf:resource":"URN:NBN:SI:DOC-FQ41MRSX"},"edm:isShownBy":{"@rdf:resource":"http://www.dlib.si/stream/URN:NBN:SI:DOC-FQ41MRSX/b8ef5a14-5088-42a7-8c21-d4b6dbcc04cf/PDF"},"edm:rights":{"@rdf:resource":"http://rightsstatements.org/vocab/InC/1.0/"},"edm:provider":"Slovenian National E-content Aggregator","edm:intermediateProvider":{"@xml:lang":"en","#text":"National and University Library of Slovenia"},"edm:dataProvider":{"@xml:lang":"sl","#text":"Univerza v Mariboru, Fakulteta za energetiko"},"edm:object":{"@rdf:resource":"http://www.dlib.si/streamdb/URN:NBN:SI:DOC-FQ41MRSX/maxi/edm"},"edm:isShownAt":{"@rdf:resource":"http://www.dlib.si/details/URN:NBN:SI:DOC-FQ41MRSX"}}}}