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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Optimal H-2 state feedback sampled-data control design of Markov Jump Linear Systems

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Author(s):
Geromel, Jose C. [1] ; Gabriel, Gabriela W. [1]
Total Authors: 2
Affiliation:
[1] Univ Estadual Campinas, Sch Elect & Comp Engn, Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: AUTOMATICA; v. 54, p. 182-188, APR 2015.
Web of Science Citations: 38
Abstract

This paper is entirely devoted to analyze and solve the H-2 optimal state feedback sampled-data control design problem of Markov Jump Linear Systems. Several theoretical aspects are addressed, in particular, mean square stability and performance optimization. The numerical procedure follows by embedding the system under consideration into a more general class of dynamical systems named Hybrid Markov Jump Linear System. Hence, the state feedback sampled-data control gains are calculated from the solution of a new and specific two-point boundary value problem. A global uniformly convergent algorithm based exclusively on linear matrix inequality is proposed. The theory is illustrated by means of practical examples. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 12/23634-2 - Markov Jump Systems Control throw Communication Networks.
Grantee:Gabriela Werner Gabriel
Support Opportunities: Scholarships in Brazil - Doctorate