Knowledge engineering for real time intelligent control

Author

Evans, John M. ; Messina, Elena R. ; Albus, James S.

Author_Institution

Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA

fYear

2002

fDate

2002

Firstpage

421

Lastpage

427

Abstract

The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages for the planning of behavior by the intelligent system. Examples of each from demonstration systems are presented.

Keywords

control engineering computing; intelligent control; knowledge representation; mobile robots; real-time systems; software architecture; behavior planning; geometric level knowledge; iconic level knowledge; intelligent controllers; intelligent systems; knowledge bases; knowledge engineering; knowledge representation; mobile robot; parametric level knowledge; real-time intelligent control; software architecture; symbolic knowledge; world models; Control system synthesis; Intelligent control; Intelligent systems; Knowledge engineering; Knowledge representation; NIST; Nonlinear control systems; Real time systems; Servomechanisms; Software architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on

ISSN

2158-9860

Print_ISBN

0-7803-7620-X

Type

conf

DOI

10.1109/ISIC.2002.1157800

Filename

1157800