Optimal decisions in multi-model systems

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dc.contributor.author Alexandru, M en
dc.contributor.author Arvanitis, KG en
dc.contributor.author Serbanescu, M en
dc.date.accessioned 2014-03-01T01:48:41Z
dc.date.available 2014-03-01T01:48:41Z
dc.date.issued 1999 en
dc.identifier.uri http://hdl.handle.net/123456789/25559
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-4944224568&partnerID=40&md5=69d337b06967073286fed5e425790647 en
dc.subject (non) linear problems en
dc.subject Decomposition en
dc.subject Large scale systems en
dc.subject Optimisation en
dc.subject Partitioning en
dc.subject Relaxation en
dc.subject.other Algorithms en
dc.subject.other Computational complexity en
dc.subject.other Computer software en
dc.subject.other Control systems en
dc.subject.other Estimation en
dc.subject.other Mathematical models en
dc.subject.other Mathematical programming en
dc.subject.other Optimization en
dc.subject.other Problem solving en
dc.subject.other Vectors en
dc.subject.other Lagrange operators en
dc.subject.other Optimization problem (OP) en
dc.subject.other Partitioning en
dc.subject.other Relaxation en
dc.subject.other Large scale systems en
dc.title Optimal decisions in multi-model systems en
heal.type journalArticle en
heal.publicationDate 1999 en
heal.abstract The paper deals with large-scale systems represented as a collection of subsystems which respect a certain order and interconnection relays. Each subsystem is described through a specific model so that the whole system can be view as a multi-model homogenous structure. The management of a system is enough complicated and in order to accomplish it we propose a decentralised decision structure having a well-defined distribution of supervisory functions. For a large scale system two strategies are outlined:; relaxation and partitioning appropriate for the weak coupling systems and decomposition technique suitable for additive separable systems. The work suggests an optimal system's functionality through a partial optimisation of each subsystem's quality criteria. The numerical implementation of associated algorithms was improved through a parallel and hierarchical distributed computation approach. The developed software package (LSOPT) reduces the computation complexity, allowing an equilibrate calculus effort per each subsystem. Although algorithms' design enables an efficient functionality on a parallel unit net, the actual results are obtained applying a sequential procedure in a former phase. The main contribution consists in a distributed computation approach on multi-model representation. en
heal.publisher World Scientific and Engineering Academy and Society en
heal.journalName Computers and Computational Engineering in Control en
dc.identifier.spage 77 en
dc.identifier.epage 81 en

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