Rigorous design of robust predictive controllers for processes with more inputs than outputs

Sarimveis, H; Genceli, H; Nikolaou, M

dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Genceli, H	en
dc.contributor.author	Nikolaou, M	en
dc.date.accessioned	2014-03-01T01:44:30Z
dc.date.available	2014-03-01T01:44:30Z
dc.date.issued	1996	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24390
dc.subject	Design Methodology	en
dc.subject	Dynamic Matrix Control	en
dc.subject	Objective Function	en
dc.subject	Robust Stability	en
dc.title	Rigorous design of robust predictive controllers for processes with more inputs than outputs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0098-1354(96)00185-8	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0098-1354(96)00185-8	en
heal.publicationDate	1996	en
heal.abstract	In this paper we present a design methodology for multivariable Quadratic Dynamic Matrix Control (QDMC) systems with more manipulated variables than outputs. The algorithm requires the utilization of an end-condition and calculates low bounds on the move suppression coefficients in the on-line objective function. We show that these bounds are the solutions of an off-line constrained nonlinear minimization problem. The	en
heal.journalName	Computers & Chemical Engineering	en
dc.identifier.doi	10.1016/0098-1354(96)00185-8	en