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
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;
Conference_Titel :
Computer-Aided Control System Design, 1992. (CACSD), 1992 IEEE Symposium on
Conference_Location :
Napa, CA
DOI :
10.1109/CACSD.1992.274437
