A mimo discrete-system robustness measure for internal model control structure

Bars, R; Jaworska, I; Tzafestas, S

dc.contributor.author	Bars, R	en
dc.contributor.author	Jaworska, I	en
dc.contributor.author	Tzafestas, S	en
dc.date.accessioned	2014-03-01T01:45:50Z
dc.date.available	2014-03-01T01:45:50Z
dc.date.issued	1997	en
dc.identifier.issn	01371223	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24757
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0031368588&partnerID=40&md5=ad874202cdd52cec131ce5cf406b9dfd	en
dc.subject.other	Algorithms	en
dc.subject.other	Predictive control systems	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Stability criteria	en
dc.subject.other	System stability	en
dc.subject.other	Deterministic models	en
dc.subject.other	Predictive algorithms	en
dc.subject.other	Closed loop control systems	en
dc.title	A mimo discrete-system robustness measure for internal model control structure	en
heal.type	journalArticle	en
heal.publicationDate	1997	en
heal.abstract	A robustness measure is given based on the Gastinel-Kahan theorem investigating stability conditions of discrete perturbed closed-loop systems. This measure is used to evaluate the robustness of internal model control structure for plant-model mismatch. The control algorithm is a one-step-ahead predictive algorithm punishing the jumps in the actuating signal. Robustness versus the punishing weighting factor is investigated. An illustrative example is given.	en
heal.journalName	Systems Science	en
dc.identifier.volume	23	en
dc.identifier.issue	1	en
dc.identifier.spage	25	en
dc.identifier.epage	35	en