• DocumentCode
    630701
  • Title

    A computational method for boundary estimation and control via the sequentially semi separable approach

  • Author

    Rice, J.K. ; van Wingerden, Jan-Willem

  • Author_Institution
    Delft Center for Syst. & Control, Delft Univ., Delft, Netherlands
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    2600
  • Lastpage
    2605
  • Abstract
    Recent work has shown that many types of distributed system with distributed actuators and sensors have state space realizations with “Sequentially Semi Separable” (SSS) structure. The special properties of the SSS arithmetic allow the analysis and synthesis of controllers with similarly distributed architecture, with arbitrarily small loss of optimality, in linear computational complexity (in the number of subsystems) for systems interconnected on a line. However, in spite of the current popularity in research on distributed actuators and sensors, and consensus algorithms, many estimation and control problems for distributed systems in practice are limited by the high cost of sensors and actuators, and hence are limited to boundary sensing, boundary actuation, or both. In this paper, we show how to fit boundary actuation and sensing problems into the SSS structure, allowing the use of the aforementioned powerful and fast analysis and synthesis methods. We then demonstrate on a few examples the results of this approach, and discuss characteristics of other examples on which it will work well.
  • Keywords
    actuators; computational complexity; control system analysis; control system synthesis; distributed sensors; interconnected systems; state-space methods; SSS structure; boundary actuation; boundary control; boundary estimation; boundary sensing; computational method; consensus algorithms; controller analysis; controller synthesis; distributed actuators; distributed architecture; distributed sensors; distributed system; interconnected systems; linear computational complexity; optimality loss; sequentially semiseparable structure; state space realizations; Actuators; Computational complexity; Decentralized control; Equations; MATLAB; Mathematical model; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580226
  • Filename
    6580226