Design of adaptive LQ regulators for MIMO systems based on multirate sampling of the plant output

Arvanitis, KG

dc.contributor.author	Arvanitis, KG	en
dc.date.accessioned	2014-03-01T01:11:52Z
dc.date.available	2014-03-01T01:11:52Z
dc.date.issued	1996	en
dc.identifier.issn	0022-3239	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11837
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0030491108&partnerID=40&md5=b68b22a4a73a28c0a1afa8e89b468ce5	en
dc.subject	Adaptive LQ regulation	en
dc.subject	Multirate sampling	en
dc.subject	Optimal adaptive control	en
dc.subject	Sampled-data controllers	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	DATA HOLD FUNCTIONS	en
dc.subject.other	TIME-INVARIANT SYSTEMS	en
dc.subject.other	POLE ASSIGNMENT	en
dc.subject.other	FEEDBACK	en
dc.subject.other	CONTROLLER	en
dc.subject.other	COMPENSATION	en
dc.title	Design of adaptive LQ regulators for MIMO systems based on multirate sampling of the plant output	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	In this paper, the certainty equivalence principle is used to combine a discrete-time adaptive law with a control structure derived from the linear-quadratic regulation problem. The proposed control structure is mainly based on multirate sampling of the output of the continuous-time plant under control and allows us to regulate the sampled closed-loop system, subject to a quadratic performance criterion, without making assumptions on the plant other than controllability and observability and the knowledge of two sets of structural indices. Using the proposed algorithm, the adaptive regulation problem is reduced to the determination of a fictitious static state feedback controller. Known techniques usually resort to the computation of full-order adaptive state observers, thus introducing high-order exogenous dynamics in the control loop. Moreover, persistence of excitation and parameter convergence of the plant are provided without making any additional assumption on the system, as compared to known adaptive linear-quadratic regulation schemes.	en
heal.publisher	PLENUM PUBL CORP	en
heal.journalName	Journal of Optimization Theory and Applications	en
dc.identifier.isi	ISI:A1996VL81600003	en
dc.identifier.volume	91	en
dc.identifier.issue	1	en
dc.identifier.spage	35	en
dc.identifier.epage	60	en