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Indefinite quadratic with linear costs optimal control of Markov jump with multiplicative noise systems

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Autor(es):
Costa‚ O.L.V. ; de Paulo‚ W.L.
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: AUTOMATICA; v. 43, n. 4, p. 587-597, 2007.
Resumo

In this paper we consider the stochastic optimal control problem of discrete-time Markov jump with multiplicative noise linear systems. The performance criterion is assumed to be formed by a linear combination of a quadratic part and a linear part in the state and control variables. The weighting matrices of the state and control for the quadratic part are allowed to be indefinite. We present a necessary and sufficient condition under which the problem is well posed and a state feedback solution can be derived from a set of coupled generalized Riccati difference equations interconnected with a set of coupled linear recursive equations. For the case in which the quadratic-term matrices are non-negative, this necessary and sufficient condition can be written in a more explicit way. The results are applied to a problem of portfolio optimization. (C) 2007 Elsevier Ltd. All rights reserved. (AU)

Processo FAPESP: 03/06736-7 - Controle e filtragem de sistemas estocásticos markovianos com saltos nos parâmetros
Beneficiário:João Bosco Ribeiro do Val
Modalidade de apoio: Auxílio à Pesquisa - Temático