• DocumentCode
    3536045
  • Title

    Ellipsoidal motions for applied control: From theory to computation

  • Author

    Kurzhanski, Alexander B. ; Mesyats, Aleksei I.

  • Author_Institution
    UC Berkeley, Berkeley, CA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    5816
  • Lastpage
    5821
  • Abstract
    The treatment of problems in control and observation under various types of uncertainty or partial information is often reduced to the description of controlled set-valued dynamics, especially for ellipsoidal-valued tubes. This paper indicates the statement and solutions of target control problems for ellipsoidal-valued motions which have to evolve while avoiding external obstacles and also observing an internal bound that excludes degeneracy of the tubes throughout the motion. The techniques rely on Hamiltonian methods for matrix differential equations. The motivations for such problems include those of reachability, guaranteed state estimation, output feedback control as well as coordinated multiagent team control and distributed observation.
  • Keywords
    differential equations; distributed control; feedback; matrix algebra; multi-agent systems; multi-robot systems; reachability analysis; state estimation; Hamiltonian methods; applied control; coordinated multiagent team control; distributed observation; ellipsoidal motions; ellipsoidal-valued motions; guaranteed state estimation; matrix differential equations; output feedback control; reachability; target control problems; Differential equations; Electron tubes; Equations; Linear matrix inequalities; Mathematical model; Optimal control; Stacking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760806
  • Filename
    6760806