Toward automation in the optimization of systems models

Author

Kagiwada, Harriet H. ; Kalaba, Robert E.

Author_Institution

Appl. Res. Center for Syst. Sci., California State Univ., Fullerton, CA, USA

fYear

1992

fDate

17-19 Sep 1992

Firstpage

365

Lastpage

368

Abstract

The authors consider large classes of problems in which dynamical systems satisfy nonlinear differential and discrete equations, boundary conditions are to be met, certain functionals are to be minimized or maximized, unknown system parameters are to be identified on the basis of experimental data, and systems are to be designed for optimal utilization, control, and performance. These developments produce rapid prototyping capabilities for systems engineers, systems analysts, software engineers, and others to use in creating intelligent information-based systems

Keywords

identification; modelling; nonlinear differential equations; boundary conditions; discrete equations; dynamical systems; identification; intelligent information-based systems; modelling; nonlinear differential equations; rapid prototyping capabilities; software engineers; systems analysts; systems engineers; systems models; Automation; Boundary conditions; Control systems; Design engineering; Differential equations; Nonlinear control systems; Nonlinear equations; Optimal control; Software prototyping; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1992., IEEE International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-0734-8

Type

conf

DOI

10.1109/ICSYSE.1992.236881

Filename

236881