Title :
Qualitative physics versus fuzzy sets theory in modeling and control
Author :
Barreto, J. ; De Neyer, M. ; Lefevre, P. ; Gorez, R.
Author_Institution :
Lab. of Control Syst., Univ. Catholique de Louvain, Belgium
fDate :
28 Oct-1 Nov 1991
Abstract :
The authors present a comparison between two modeling and control techniques of physical systems: qualitative physics based on symbolic manipulation and fuzzy logic. The main features of each approach are considered. The issues addressed are modeling and control using qualitative physics and fuzzy logic, specific domains of application for these approaches, and whether they are complementary. The concepts studied are illustrated with an example of biological control
Keywords :
biocontrol; control system analysis; fuzzy logic; fuzzy set theory; modelling; symbol manipulation; biological control; eye-head coordination system; fuzzy logic; fuzzy sets theory; modeling; qualitative physics; symbolic manipulation; systems control; Application software; Biological system modeling; Biology computing; Computer aided instruction; Control system synthesis; Fuzzy logic; Fuzzy sets; Humans; Neurophysiology; Physics;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239092
