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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.)

Performance evaluation of sampled-data control of Markov jump linear systems

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Author(s):
Gabriel, Gabriela W. [1] ; Geromel, Jose C. [1]
Total Authors: 2
Affiliation:
[1] Univ Campinas UNICAMP, Sch Elect & Comp Engn FEEC, Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: AUTOMATICA; v. 86, p. 212-215, DEC 2017.
Web of Science Citations: 5
Abstract

This technical communique extends the recent results of Geromel and Gabriel (2015) to H-infinity, sampled data control design of Markov jump linear systems (MJLS). It fulfills a lack of a specific necessary and sufficient result in the literature of sampled-data control of MJLS in the context of H-infinity performance. Mean square stabilizability and performance determination are addressed and discussed in a unified theoretical viewpoint. As a natural consequence, it is shown that the previous result of Geromel and Gabriel (2015) is obtained as a particular case. A globally uniformly convergent algorithm is proposed to solve the design conditions. The theory is illustrated by means of an example. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 16/06343-5 - Unified Theory for Sampled-Data Control of Hybrid Dynamic Systems
Grantee:Gabriela Werner Gabriel
Support type: Scholarships in Brazil - Post-Doctorate