• DocumentCode
    2188534
  • Title

    Nonlinear optimal control: principle of local optimality

  • Author

    Hayase, Minoru ; Yamazaki, Takanori ; Rijanto, Estiko

  • Author_Institution
    Control Sci. Lab., Tokyo Univ., Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    19-22 Jan. 2000
  • Firstpage
    202
  • Abstract
    In this paper, it is shown that a nonlinear regulator constructed by using a state-dependent Riccati equation (SDRE) is a local optimal solution of the original optimal control problem. In order to prove this fact, the conventional methods-Lagrange multiplier method, minimum principle and dynamic programming are used-and an idea of the principle of local optimality is introduced by modifying the principle of optimality of dynamic programming.
  • Keywords
    Riccati equations; control system analysis; dynamic programming; minimum principle; nonlinear control systems; optimal control; Lagrange multiplier method; control simulation; dynamic programming; local optimality principle; minimum principle; nonlinear optimal control; nonlinear regulator; state-dependent Riccati equation; Agriculture; Cities and towns; Cost function; Dynamic programming; Laboratories; Lagrangian functions; Nonlinear control systems; Nonlinear equations; Optimal control; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology 2000. Proceedings of IEEE International Conference on
  • Print_ISBN
    0-7803-5812-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2000.854125
  • Filename
    854125