• DocumentCode
    1411556
  • Title

    An exact solution to continuous-time mixed H2/H control problems

  • Author

    Sznaier, M. ; Rotstein, H. ; Bu, Juanyu ; Sideris, A.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    45
  • Issue
    11
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    2095
  • Lastpage
    2101
  • Abstract
    Multiobjective control problems have been the object of much attention in the past few years, since they allow for handling multiple, perhaps conflicting, performance specifications and model uncertainty. One of the earliest multiobjective problems is the mixed H2/H control problem, which can be motivated as a nominal LQG optimal control problem subject to robust stability constraints. This problem has proven to be surprisingly difficult to solve, and at this time no closed-form solutions are available. Moreover, it has been shown that except in some trivial cases, the optimal controller is infinite-dimensional. In this paper, we propose a solution to general continuous-time mixed H2/H problems, based upon constructing a family of approximating problems, obtained by solving an equivalent discrete-time problem. Each of these approximations can be solved efficiently, and the resulting controllers converge strongly in the H2 topology to the optimal solution.
  • Keywords
    H control; convergence; discrete time systems; linear quadratic Gaussian control; robust control; H2 topology; continuous-time mixed H2/H control problems; equivalent discrete-time problem; infinite-dimensional optimal control; model uncertainty; multiobjective control problems; multiple performance specifications; nominal LQG optimal control problem; robust stability constraints; Closed-form solution; Feedback; Optimal control; Riccati equations; Robust control; Robust stability; Robustness; Topology; Uncertainty; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/9.887633
  • Filename
    887633