Optimal noise rejection in structural analysis by means of generalized sampled-data hold functions

Arvanitis, KG; Zaharenakis, E; Soldatos, A

dc.contributor.author	Arvanitis, KG	en
dc.contributor.author	Zaharenakis, E	en
dc.contributor.author	Soldatos, A	en
dc.date.accessioned	2014-03-01T01:15:45Z
dc.date.available	2014-03-01T01:15:45Z
dc.date.issued	2000	en
dc.identifier.issn	0925-5001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13719
dc.subject	LQG control	en
dc.subject	noise rejection	en
dc.subject	robustness	en
dc.subject	sampled-data control	en
dc.subject	structural control	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	DISCRETE ALGEBRAIC RICCATI	en
dc.subject.other	TIME-INVARIANT SYSTEMS	en
dc.subject.other	POLE ASSIGNMENT	en
dc.subject.other	OUTPUT-FEEDBACK	en
dc.subject.other	ROBUST-CONTROL	en
dc.subject.other	LOWER BOUNDS	en
dc.subject.other	EQUATION	en
dc.subject.other	COMPENSATION	en
dc.title	Optimal noise rejection in structural analysis by means of generalized sampled-data hold functions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1026726729698	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1026726729698	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	In this paper, a technique for optimal noise rejection, based on generalized sampled-data hold functions is applied to the control of civil engineering structures. The technique consists in suitably modulating the sampled outputs of the system under control by periodically varying functions in order to attenuate the effect of the disturbances on the system states to an acceptable level, by minimizing a quadratic cost function. This mininization is performed by feeding back the outputs of the system, which are assumed to be corrupted by measurement noise. Moreover, in the present paper, the robustness properties of the GSHF based optimal regulator is analyzed and guaranteed stability margins, expressed in terms of elementary cost and system matrices, are proposed for such a type of optimal regulators. The effectiveness of the method is demonstrated by various simulation results. The results of the paper can be used to assess the detrimental effect of noise on the closed-loop system and the tradeoff involved in assuring good sampled-data performance and sufficient robustness.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	JOURNAL OF GLOBAL OPTIMIZATION	en
dc.identifier.doi	10.1023/A:1026726729698	en
dc.identifier.isi	ISI:000165633600004	en
dc.identifier.volume	17	en
dc.identifier.issue	1-4	en
dc.identifier.spage	19	en
dc.identifier.epage	42	en