A new generalized model-based predictive control algorithm

Tzafestas, S; Vagelatos, G; Capsiotis, G

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	Vagelatos, G	en
dc.contributor.author	Capsiotis, G	en
dc.date.accessioned	2014-03-01T02:47:55Z
dc.date.available	2014-03-01T02:47:55Z
dc.date.issued	1991	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33444
dc.subject	Computational Complexity	en
dc.subject	Generic Model	en
dc.subject	Multiple Input Multiple Output	en
dc.subject	Predictive Control	en
dc.subject	State Space	en
dc.subject	System Modeling	en
dc.subject	First Order	en
dc.subject	Predictive Functional Control	en
dc.subject	Second Order	en
dc.title	A new generalized model-based predictive control algorithm	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CDC.1991.261473	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CDC.1991.261473	en
heal.publicationDate	1991	en
heal.abstract	A unified generalized model-based predictive control (GMBPC) technique is presented. This technique combines in an efficient way the key properties of several previous MBPC-like algorithms. The multiple-input-multiple-output (MIMO) state-space is employed, and state and control constraints are included in the system formulation. For better accuracy a second-order model is employed for each output variable, while a first-order model is always	en
heal.journalName	Conference on Decision and Control	en
dc.identifier.doi	10.1109/CDC.1991.261473	en