Optimal decisions in multi-model systems

Alexandru, M; Arvanitis, KG; Serbanescu, M

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	https://dspace.lib.ntua.gr/xmlui/handle/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