DocumentCode :
354007
Title :
An adaptive method of signal selecting based on the strategy of fuzzy clustering and expert reasoning
Author :
Hua, Xu ; Yannan, Zhao ; Zehong, Yang ; Xiaomin, Sun ; Peifa, Jia
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1726
Abstract :
In order to pick up effective signals a real control system, the paper discusses an adaptive method of signal selection based on the strategy of fuzzy clustering and expert reasoning. Compared with known methods, it can not only pick up system characteristic frequency efficiently in the allowable error range, but also reduce the calculation and enhance the real time property. In order to demonstrate the merits of this method, an application example is then given
Keywords :
expert systems; fuzzy control; inference mechanisms; pattern clustering; adaptive method; characteristic frequency; expert reasoning; fuzzy clustering; real time property; signal selection; Adaptive control; Computer science; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Intelligent systems; Laboratories; Programmable control; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862767
Filename :
862767
Link To Document :
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