Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/68841
Type: Artigo de periódico
Title: H(infinity) Filtering of Discrete-Time Markov Jump Linear Systems Through Linear Matrix Inequalities
Author: Goncalves, APC
Fioravanti, AR
Geromel, JC
Abstract: This technical note addresses the discrete-time Markov jump linear systems H(infinity) filtering design problem. First, tinder the assumption that the Markov parameter is measurable, the main contribution is the linear matrix inequality (LMI) characterization of all linear filters such that the estimation error remains bounded by a given H(infinity) norm level, yielding the complete solution of the mode-dependent filtering design problem. Based on this result, a robust filter design able to deal with polytopic uncertainty is considered. Second, front file same LMI characterization, a design procedure for mode-independent filtering is proposed. Some examples are solved for illustration and comparisons.
Subject: Discrete-time systems
linear matrix inequalities (LMIs)
Markov jump linear systems
robust filtering
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/TAC.2009.2015553
Date Issue: 2009
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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