• DocumentCode
    2628374
  • Title

    Optimal control of networked systems with limited communication: a combined heuristic and convex optimization approach

  • Author

    Lu, Lilei ; Xie, Lihua ; Fu, Minyue

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    2
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    1194
  • Abstract
    This paper discusses the optimal H∞ control problem for networked systems with limited communication constraint. The limited communication constraint in control networks is taken into consideration in controller design by employing the notion of communication sequence. Our objective is to find an optimal communication sequence and the corresponding optimal controller for the given plant and communication resource under the H∞ performance index. For a given communication sequence, the problem is formulated into a periodic control problem for which a direct LMI design method is developed. We also propose a heuristic search method for seeking a sub-optimal communication sequence, which in conjunction with the convex optimization gives a solution to the optimal limited communication control problem. As compared with the exhaustive search of communication sequence, our approach greatly reduces the computational cost. Examples are given to illustrate the design method. It clearly indicates that the solution of the heuristic search converges to the optimal communication sequence.
  • Keywords
    H∞ control; control system synthesis; convex programming; distributed control; linear matrix inequalities; H∞ control problem; LMI design method; convex optimization approach; heuristic optimization approach; limited communication constraint; optimal control; Bandwidth; Communication system control; Constraint optimization; Control systems; Delay effects; Design methodology; Optimal control; Paper technology; State estimation; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1272770
  • Filename
    1272770