An indirect model reference adaptive controller based on the multirate sampling of the plant output

Arvanitis, KG

dc.contributor.author	Arvanitis, KG	en
dc.date.accessioned	2014-03-01T01:11:41Z
dc.date.available	2014-03-01T01:11:41Z
dc.date.issued	1996	en
dc.identifier.issn	0890-6327	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11775
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0030286397&partnerID=40&md5=cba8a2dbff735cc7c6673d1d06dbf33d	en
dc.subject	Adaptive control	en
dc.subject	Indirect adaptive schemes	en
dc.subject	Model reference control	en
dc.subject	Multirate digital controllers	en
dc.subject	Sampled-data systems	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Adaptive algorithms	en
dc.subject.other	Closed loop control systems	en
dc.subject.other	Controllability	en
dc.subject.other	Discrete time control systems	en
dc.subject.other	Feedback	en
dc.subject.other	Linear control systems	en
dc.subject.other	Mathematical models	en
dc.subject.other	Matrix algebra	en
dc.subject.other	Observability	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Sampled data control systems	en
dc.subject.other	Transfer functions	en
dc.subject.other	Indirect model reference adaptive controller	en
dc.subject.other	Multirate sampling	en
dc.subject.other	Adaptive control systems	en
dc.title	An indirect model reference adaptive controller based on the multirate sampling of the plant output	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1996	en
heal.abstract	The use of sampled-data multirate-output controllers for model reference adaptive control of possibly non-stably invertible linear systems with unknown parameters is investigated. Multirate-output controllers contain a multirate sampling mechanism with different sampling period at each system output. Such a control allows us to assign an arbitrary discrete-time transfer function matrix for the sampled closed-loop system and does not make assumptions on the plant other than controllability, observability and the knowledge of two sets of structural indices, namely the controllability and the observability indices. An indirect adaptive control scheme based on these sampled-data controllers is proposed which estimates the unknown plant parameters (and consequently the controller parameters) on-line from sequential data of the inputs and the outputs of the plant, which are recursively updated within the time limit imposed by a fundamental sampling period T-0. Using the proposed adaptive algorithm, the model reference adaptive control problem is reduced to the determination of a fictitious static state feedback controller owing to the merits of multirate-output controllers. Known indirect model reference adaptive control techniques usually resort to the direct computation of dynamic controllers. The controller determination reduces to the simple problem of solving a linear algebraic system of equations, whereas in known indirect model reference adaptive control techniques, matrix polynomial Diophantine equations usually need to be solved. Moreover, persistent excitation of the continuous-time plant is provided without making any special richness assumption on the reference signals.	en
heal.publisher	JOHN WILEY & SONS LTD	en
heal.journalName	International Journal of Adaptive Control and Signal Processing	en
dc.identifier.isi	ISI:A1996VZ06800009	en
dc.identifier.volume	10	en
dc.identifier.issue	6	en
dc.identifier.spage	673	en
dc.identifier.epage	705	en