• DocumentCode
    3211354
  • Title

    An approach to optimization of linear networked systems based on the hybrid LQ methodology

  • Author

    Galvan-Guerra, R. ; Azhmyakov, V. ; Velazquez-Velazquez, J.E. ; Poznyak, A.

  • Author_Institution
    Dept. de Control Automatico, CINVESTAV, Mexico City, Mexico
  • fYear
    2009
  • fDate
    10-13 Jan. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with an optimal design of linear networked control systems. We study a class of delayed dynamical systems in the continuous time-domain and propose an optimization approach based on the newly elaborated hybrid LQ-type techniques. Moreover, we develop an explicit connection between the given networked control processes and auxiliary hybrid models. The optimal feedback control strategy for the networked systems is obtained as a consequence of the Riccati-formalism for the associated hybrid LQ problems. We also consider some alternative optimization techniques and discuss stability properties of the optimal trajectories.
  • Keywords
    Riccati equations; continuous time systems; control system synthesis; delay systems; distributed control; feedback; linear quadratic control; optimisation; stability; Riccati formalism; auxiliary hybrid model; continuous time-domain; delayed dynamical systems; hybrid LQ methodology; linear networked control systems; networked control process; optimal design; optimal feedback control; optimal trajectories; optimization approach; stability properties; Automatic control; Control systems; Delay effects; Delay systems; Feedback control; Networked control systems; Optimal control; Optimization methods; Process control; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on
  • Conference_Location
    Toluca
  • Print_ISBN
    978-1-4244-4688-9
  • Electronic_ISBN
    978-1-4244-4689-6
  • Type

    conf

  • DOI
    10.1109/ICEEE.2009.5393375
  • Filename
    5393375