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

  • Authors:
  • Oswaldo L. V. Costa;Wanderlei L. de Paulo

  • Affiliations:
  • Departamento de Engenharia de Telecomunicaçíes e Controle, Escola Politécnica da Universidade de São Paulo, 05508-970-São Paulo, SP, Brazil;Departamento de Engenharia de Telecomunicaçíes e Controle, Escola Politécnica da Universidade de São Paulo, 05508-970-São Paulo, SP, Brazil

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2007

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Abstract

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.