Knowledge-based control
| dc.creator | Painter, John H. | |
| dc.date.accessioned | 2010-02-18T19:32:47Z | |
| dc.date.available | 2010-02-18T19:32:47Z | |
| dc.date.issued | 1992-03-17 | |
| dc.description | ©1992 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en |
| dc.description.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. | en |
| dc.identifier.citation | Painter, J.H. (1992). Knowledge-based control. 1992 IEEE Symposium on Computer-Aided Control System Design, 1992: 138-147. | en |
| dc.identifier.uri | 10.1109/CACSD.1992.274439 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/90473 | |
| dc.language.iso | en_US | |
| dc.publisher | IEEE | |
| dc.subject | aerospace computer control | en |
| dc.subject | aircraft control | en |
| dc.subject | artificial intelligence | en |
| dc.subject | decision theory | en |
| dc.subject | fuzzy control | en |
| dc.subject | intelligent control | en |
| dc.title | Knowledge-based control | en |
| dc.type | Article | en |
| local.department | Aerospace Engineering | en |