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