A satisficing approach to intelligent control of nonlinear systems

Author

Goodrich, M.A. ; Stirling, W.C. ; Frost, R.L.

Author_Institution

Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA

fYear

1996

fDate

15-18 Sep 1996

Firstpage

248

Lastpage

252

Abstract

The need to control complex and uncertain systems has motivated the development of new ways to represent knowledge of the system, leading to the development of intelligent controllers. Since complexity and uncertainty may render the superlative paradigm (optimality seeking) inappropriate, alternative decision paradigms may be appropriate for such systems. Satisficing control is compatible with the limited rationality associated with such systems. Strongly satisficing controllers represent a rigorous, systematic synthesis procedure for the design of satisficing controls

Keywords

control system synthesis; intelligent control; knowledge representation; large-scale systems; nonlinear control systems; complex uncertain systems; intelligent control; knowledge representation; nonlinear systems; rigorous systematic synthesis procedure; satisficing control design; Biological systems; Control system synthesis; Control systems; Decision making; Intelligent control; Knowledge engineering; Neural networks; Nonlinear control systems; Nonlinear systems; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Conference_Location

Dearborn, MI

ISSN

2158-9860

Print_ISBN

0-7803-2978-3

Type

conf

DOI

10.1109/ISIC.1996.556209

Filename

556209