• DocumentCode
    1695239
  • Title

    Redesign of adaptive control systems based on the notion of optimality

  • Author

    Miyasato, Yoshihiko

  • Author_Institution
    Inst. of Stat. Math., Tokyo, Japan
  • Volume
    4
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    3315
  • Abstract
    A class of adaptive control systems which are not only asymptotically stable but also optimal or sub-optimal to some meaningful cost functionals, are derived. By relating Lyapunov functions with solutions of Hamilton-Jacobi (-Isaacs) equations, three types of adaptive optimal control problems are solved (Type 1~3), and the adaptive ℋ2 (Type 2) and ℋ∞ (Type 1 and 3) optimal (sub-optimal) control systems are constructed for generalized adaptive control problems
  • Keywords
    H∞ control; Lyapunov methods; adaptive control; asymptotic stability; control system synthesis; functional equations; nonlinear control systems; optimal systems; suboptimal control; Hamilton-Jacobi equations; Hamilton-Jacobi-Isaacs equations; Lyapunov functions; adaptive control systems; generalized adaptive control problems; optimal systems; optimality; suboptimal systems; Adaptive control; Attenuation; Control systems; Cost function; Equations; Mathematics; Nonlinear control systems; Optimal control; Programmable control; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.827783
  • Filename
    827783
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1695239