On board adaptive models: A general framework and implementation aspects

Stamatis, A; Kamboukos, Ph; Aretakis, N; Nathioudakis, K

dc.contributor.author	Stamatis, A	en
dc.contributor.author	Kamboukos, Ph	en
dc.contributor.author	Aretakis, N	en
dc.contributor.author	Nathioudakis, K	en
dc.date.accessioned	2014-03-01T02:49:15Z
dc.date.available	2014-03-01T02:49:15Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34443
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0037000446&partnerID=40&md5=b92eab19e16ff6856064dde09154d924	en
dc.subject.other	Mathematical models	en
dc.subject.other	Nonlinear equations	en
dc.subject.other	Optimization	en
dc.subject.other	Performance	en
dc.subject.other	Adaptive model	en
dc.subject.other	Nonlinear system solver	en
dc.subject.other	Turbofan engines	en
dc.title	On board adaptive models: A general framework and implementation aspects	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	The principles on which an adaptive engine performance model is based are first discussed. The mathematical ways of matching given performance data are presented and their implications for practical implementation are discussed. The consequences of using a number of measurements equal or fewer than the number of adaptive parameters are analysed. The numerical behaviour of an adaptive model is also discussed. Solution methods based on non-linear system solvers are compared to methods using optimisation techniques. Execution time requirements are also discussed for the different approaches and implications for possible on-line or off-line applications are evaluated.	en
heal.journalName	American Society of Mechanical Engineers, International Gas Turbine Institute, Turbo Expo (Publication) IGTI	en
dc.identifier.volume	1	en
dc.identifier.spage	139	en
dc.identifier.epage	146	en