• DocumentCode
    1645289
  • Title

    Linearization algorithms and heuristics for computer-aided control engineering

  • Author

    Taylor, James H. ; Antoniotti, Alfred J.

  • Author_Institution
    Gen. Electr. Corp. Res. & Dev., Schenectady, NY, USA
  • fYear
    1992
  • Firstpage
    156
  • Lastpage
    164
  • Abstract
    Algorithms and heuristic logic for the accurate and robust linearization of nonlinear dynamic system models are presented. This research is robust linearization methods has yielded new conventional methods and algorithms for linearization, as well as a new expert system to aid the controls engineer in determining linearized models for nonlinear systems. The focus here is on conventional methods and algorithms, which incorporate all of the expert knowledge gained in the course of this effort
  • Keywords
    control engineering computing; heuristic programming; linearisation techniques; nonlinear control systems; computer-aided control engineering; expert system; heuristic logic; nonlinear dynamic system models; robust linearization; Analytical models; Computational modeling; Computer simulation; Control engineering; Control engineering computing; Control system synthesis; Expert systems; Heuristic algorithms; Nonlinear control systems; Nonlinear dynamical systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Control System Design, 1992. (CACSD), 1992 IEEE Symposium on
  • Conference_Location
    Napa, CA
  • Type

    conf

  • DOI
    10.1109/CACSD.1992.274437
  • Filename
    274437