Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94015
Type: Artigo de evento
Title: Optimality Condition For The Receding Horizon Control Of Markov Jump Linear Systems With Non-observed Chain And Linear Feedback Controls
Author: Vargas A.N.
Do Val J.B.R.
Costa E.F.
Abstract: We demonstrate here that a necessary condition of optimality studied in a previous paper is in fact a necessary and sufficient condition of optimality for the receding horizon control problem of discrete-time Markov jump linear systems subject to noisy inputs. The performance index is quadratic and the information available to the controller does not involve observations of Markov chain states. Sequences of linear feedback gains that are independent of the Markov state is adopted, in accordance with the information available to the controller. We make use of an equivalent deterministic form of expressing the stochastic problem, and the complete solution given in feedback form, is obtained by dynamic programming arguments and by the benefit of some quadratic convex relations. © 2005 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/CDC.2005.1583340
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33847236902&partnerID=40&md5=e1069e49d4fac41fd70053c32ff23db4
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

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