Design of a non-linear hybrid car suspension system using neural networks

Spentzas, K; Kanarachos, SA

dc.contributor.author	Spentzas, K	en
dc.contributor.author	Kanarachos, SA	en
dc.date.accessioned	2014-03-01T01:17:41Z
dc.date.available	2014-03-01T01:17:41Z
dc.date.issued	2002	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14622
dc.subject	Hybrid car suspension	en
dc.subject	Neural networks	en
dc.subject	Semi-stochastic optimization	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Approximation theory	en
dc.subject.other	Automobile suspensions	en
dc.subject.other	Neural networks	en
dc.subject.other	Optimal control systems	en
dc.subject.other	Optimization	en
dc.subject.other	Passenger cars	en
dc.subject.other	Semi-stochastic optimization	en
dc.subject.other	Nonlinear control systems	en
dc.title	Design of a non-linear hybrid car suspension system using neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0378-4754(02)00029-0	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0378-4754(02)00029-0	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	A methodology for the design of active/hybrid car suspension systems with the goal to maximize passenger comfort (minimization of passenger acceleration) is presented. For this reason, a neural network (NN) controller is proposed, who corresponds to a Taylor series approximation of the (unknown) non-linear control function and the NN is due to the numerous local minima trained using a semi-stochastic parameter optimization method. Two cases A and B (continuous and discontinuous operation) are investigated and numerical examples illustrate the design methodology. (C) 2002 IMACS. Published by Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Mathematics and Computers in Simulation	en
dc.identifier.doi	10.1016/S0378-4754(02)00029-0	en
dc.identifier.isi	ISI:000178952300020	en
dc.identifier.volume	60	en
dc.identifier.issue	3-5	en
dc.identifier.spage	369	en
dc.identifier.epage	378	en