Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346160
Type: Artigo
Title: Optimal H∞ state feedback sampled-data control design for Markov jump linear systems
Author: Gabriel, G.W.
Geromel, J.C.
Grigoriadis, K.M.
Abstract: This paper is entirely devoted to analyse and solve the (Formula presented.) optimal state feedback sampled-data control design problem for continuous-time Markov jump linear systems. This is an important unsolved problem in the context of optimal control theory. To this end, necessary and sufficient optimality conditions are characterised in terms of a specific nonlinear two-point boundary value problem. A global convergent algorithm able to solve iteratively the optimality conditions is provided. Moreover, some mathematical properties of the solution of a differential Riccati equation are raised in order to translate the previous conditions into linear matrix inequalities. This result allows a mode independent feedback control structure for the Markovian system under analysis. A practical application borrowed from the literature is included for illustration
Subject: Sistemas híbridos
Country: Reino Unido
Editor: Taylor & Francis
Rights: Fechado
Identifier DOI: 10.1080/00207179.2017.1323352
Address: https://www.tandfonline.com/doi/full/10.1080/00207179.2017.1323352
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos

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