• DocumentCode
    592220
  • Title

    Decentralized pole-placement using generalized sampled-data hold functions

  • Author

    Tousi, M.M. ; Ajorlou, Amir ; Mahboubi, Hamid ; Aghdam, Amir G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montréal, QC, Canada
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    6921
  • Lastpage
    6925
  • Abstract
    This paper presents a novel sequential technique for pole-assignment in linear time-invariant (LTI) decentralized control systems. Generalized sampled-data hold functions (GSHF) are used as local controllers to place the modes of the equivalent discrete-time closed-loop system in the desired locations in the z-plane. These locations are assumed to be obtained by using a proper mapping from the continuous-time domain. The GSHFs are obtained one at a time, in a sequential fashion. In other words, each local controller is designed for the equivalent discrete-time closed-loop model associated with the previously designed controllers. While no bound is provided on the intersample ripple, the convergence of the samples to zero ensures that the intersample values will also approach zero as time increases. The main characteristic of the proposed method is that unlike conventional pole-placement algorithms, the design complexity here does not increase after each local controller is obtained. A numerical example is provided which confirms the efficacy of the proposed pole-placement technique.
  • Keywords
    closed loop systems; computational complexity; control system synthesis; decentralised control; discrete time systems; linear systems; pole assignment; sampled data systems; GSHF; LTI; continuous-time domain; decentralized pole-placement; design complexity; designed controllers; discrete-time closed-loop model; discrete-time closed-loop system; generalized sampled-data hold functions; linear time-invariant decentralized control systems; sequential technique; z-plane; Algorithm design and analysis; Closed loop systems; Complexity theory; Distributed control; Eigenvalues and eigenfunctions; Kalman filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6425911
  • Filename
    6425911