Title :
Physical system modeling using temporal fuzzy sets
Author :
Kosanovic, B.R. ; Chaparro, Luis F. ; Sun, Mingui ; Sclabassi, Robert J.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
A family of temporal fuzzy sets is applied to modeling the dynamics of a physical system. The output trajectory of a physical process is decomposed through fuzzy partitioning into several patterns of dynamic activity. The membership functions are used in characterizing the extent to which the overall dynamics is governed by individual patterns. Simulated and real data examples are presented to illustrate the performance of the method
Keywords :
fuzzy set theory; modelling; pattern recognition; temporal logic; dynamic activity; fuzzy partitioning; output trajectory; pattern recognition; physical system modeling; temporal fuzzy sets; Fuzzy sets; Fuzzy systems; Hidden Markov models; Marine vehicles; Modeling; Pattern recognition; Shape; Sun; Surgery; Tellurium;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375073
