• DocumentCode
    2975017
  • Title

    Symbolic solution of non-Markovian jump linear quadratic (JLQ) systems

  • Author

    Sreenath, N. ; Chizeck, H.J.

  • Author_Institution
    Dept. of Syst. Eng., Case Western Reserve Univ., Cleveland, OH, USA
  • fYear
    1988
  • fDate
    7-9 Dec 1988
  • Firstpage
    1320
  • Abstract
    The authors consider a class of scalar JLQ problems wherein the form transition probabilities are state-dependent and are piecewise constant in the state. The optimal solution is known to exhibit interesting algorithmic formulations of the control involving logical expressions and recursions. These are amenable to symbolic computation rather than to numerical processing. Symbolic computational methods can be used to design the optimal control law explicitly. A specific example is given, and extensions to more general problems are discussed
  • Keywords
    linear systems; minimisation; optimal control; form transition probabilities; jump systems; linear quadratic systems; minimisation; nonMarkovian systems; optimal control; scalar systems; symbolic computation; Computational complexity; Control systems; Cost function; Linear systems; Markov processes; Nonlinear systems; Optimal control; Random processes; Steady-state; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/CDC.1988.194537
  • Filename
    194537