DocumentCode :
1645323
Title :
Knowledge-based control
Author :
Painter, John H.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
1992
Firstpage :
138
Lastpage :
147
Abstract :
Knowledge-based control is defined here as the management of dynamic systems whose states admit qualitative modeling. Contributions from several disparate disciplines, such as artificial intelligence, the decision sciences, and fuzzy control, are examined. An aeronautical application is used to illuminate the concepts examined. Two levels of architecture are presented for implementing qualitative decision and control for an aircraft. A geometric rather than algebraic approach is taken to the knowledge-based control problem
Keywords :
aerospace computer control; aircraft control; artificial intelligence; decision theory; fuzzy control; intelligent control; aircraft; artificial intelligence; decision sciences; dynamic systems management; fuzzy control; geometric approach; knowledge-based control; Aerodynamics; Aerospace control; Aircraft; Artificial intelligence; Automatic control; Control systems; Fuzzy control; Knowledge management; NASA; Quality management;
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.1992.274439
Filename :
274439
Link To Document :
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