DocumentCode
2641514
Title
Qualitative reasoning about control
Author
Bratko, Ivan
Author_Institution
Fac. of Electr. Eng. & Comput. Sci., Ljubljana Univ. & J. Stefan Inst., Slovenia
fYear
1993
fDate
27-29 Sep 1993
Firstpage
95
Lastpage
105
Abstract
Qualitative models are better suited for some tasks than the traditional quantitative, or numerical models. These tasks include diagnosis, generating explanation of the system´s behavior and designing novel devices from first principles. It is shown by an example how a qualitative modeling approach can be applied to the control of a dynamic system. The example used is the balancing of a pole on a cart. A control rule is derived from a qualitative model of the pole-and-cart system. This rule is shown to be a straightforward qualitative abstraction of the “classical” control rule derived from the differential equations model of this system
Keywords
common-sense reasoning; control engineering; control engineering computing; differential equations; explanation; control engineering; control rule; diagnosis; differential equations model; dynamic system; explanation; numerical models; pole balancing; pole-and-cart system; qualitative modeling approach; qualitative reasoning; quantitative models; Artificial intelligence; Control engineering; Control system synthesis; Control systems; Differential equations; Mars; Neural networks; Numerical models; Physics; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 1993. Design and Operations of Intelligent Factories. Workshop Proceedings., IEEE 2nd International Workshop on
Conference_Location
Palm Cove-Cairns, Qld.
Print_ISBN
0-7803-0985-5
Type
conf
DOI
10.1109/ETFA.1993.396424
Filename
396424
Link To Document