Evolutionary parametric identification of dynamic systems

Koulocheris, D; Dertimanis, V; Vrazopoulos, H

dc.contributor.author	Koulocheris, D	en
dc.contributor.author	Dertimanis, V	en
dc.contributor.author	Vrazopoulos, H	en
dc.date.accessioned	2014-03-01T01:20:26Z
dc.date.available	2014-03-01T01:20:26Z
dc.date.issued	2004	en
dc.identifier.issn	0015-7899	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15919
dc.subject	Dynamic System	en
dc.subject	Moving Average	en
dc.subject	Optimal Algorithm	en
dc.subject	Prediction Error	en
dc.subject	Prediction Error Method	en
dc.subject	Robot Arm	en
dc.subject	Input Output	en
dc.subject	Single Input Single Output	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Error analysis	en
dc.subject.other	Fourier transforms	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Polynomial approximation	en
dc.subject.other	Regression analysis	en
dc.subject.other	Robotic arms	en
dc.subject.other	Servomotors	en
dc.subject.other	System stability	en
dc.subject.other	Time domain analysis	en
dc.subject.other	Time series analysis	en
dc.subject.other	Vectors	en
dc.subject.other	Autoregrassive polynomials	en
dc.subject.other	Dynamic systems	en
dc.subject.other	Prediction error methods (PEM)	en
dc.subject.other	Systems analysis	en
dc.title	Evolutionary parametric identification of dynamic systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10010-003-0117-4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10010-003-0117-4	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	This paper presents a new method for the estimation of Single Input-Single Output, Autoregressive Moving Average with exogenous inputs (ARMAX) models, by means of Prediction-Error Methods (PEM). It's main feature lies in the use of a hybrid optimization algorithm, capable of giving superior performance in PEM. The new method turns to be more flexible than conventional prediction-error techniques, since no initial ""guess"" for the parameter vector is required, while stability is guaranteed. For the practical implementation of the new method, a testing apparatus that consists of a flexible robotic arm driven by a servomotor has been used, and a corresponding input-output data set has been acquired.	en
heal.publisher	SPRINGER HEIDELBERG	en
heal.journalName	Forschung im Ingenieurwesen/Engineering Research	en
dc.identifier.doi	10.1007/s10010-003-0117-4	en
dc.identifier.isi	ISI:000223372400001	en
dc.identifier.volume	68	en
dc.identifier.issue	4	en
dc.identifier.spage	173	en
dc.identifier.epage	181	en