• DocumentCode
    728381
  • Title

    A gradient-based approach for optimal plant controller co-design

  • Author

    Yuh-Shyang Wang ; Yebin Wang

  • Author_Institution
    Dept. of Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3249
  • Lastpage
    3254
  • Abstract
    This paper proposes a gradient-based iterative algorithm for optimal co-design of a linear physical plant and a controller. The proposed algorithm does not rely on the common linear parameterization assumption, and thus is applicable to a broader class of problems. The convergence of the algorithm and the verification procedure for a local minimum are given. Numerical examples show that our algorithm is comparable to other complicated algorithms in terms of the performance, but can deal with a more general class of problems.
  • Keywords
    control system synthesis; gradient methods; linear systems; optimal control; gradient-based approach; gradient-based iterative algorithm; linear parameterization assumption; optimal linear physical plant codesign; optimal plant controller codesign; verification procedure; Aerospace electronics; Algorithm design and analysis; Convergence; Mathematical model; Optimal control; Output feedback; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171833
  • Filename
    7171833