Multi agent intelligent control of centralized HVAC systems

Simple item page
creativework.keywordsControl, HVAC, Intelligent agent, Multi agent system, Thermal comfort
creativework.publisherIFAC Secretariaten
dc.contributor.authorHadjiski M.
dc.contributor.authorSgurev V.
dc.contributor.authorBoishina V.
dc.date.accessioned2024-07-10T14:27:03Z
dc.date.accessioned2024-07-10T14:47:33Z
dc.date.available2024-07-10T14:27:03Z
dc.date.available2024-07-10T14:47:33Z
dc.date.issued2006-01-01
dc.description.abstractThe perspective of Multi Agent Systems (MAS) implementation in thermal control of centralized HVAC systems is considered. MAS are implemented in all functional levels of hierarchical HVAC control system: estimation of representative control variables by agent based softsensing, evaluation of Predicted Mean Vote (PMV) index using intelligent agents, local control applying agentbased Ant Colony Optimization (ACO). A non-square control problem of realization comfort is solved via ACO. Software agents are realized into the framework of JADE - plathform in JAVA. Simulation results are presented for single input-two output (SITO) control system. Copyright © 2006 IFAC.
dc.identifier.doi10.3182/20061002-4-bg-4905.00033
dc.identifier.issn1474-6670
dc.identifier.scopusSCOPUS_ID:80051485777en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/224
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80051485777&origin=inward
dc.titleMulti agent intelligent control of centralized HVAC systems
dc.typeConference Paper
oaire.citation.issuePART 1
oaire.citation.volume1
Files
Collections
Articles