DocumentCode :
2392942
Title :
Fuzzy system for optical position sensing
Author :
Brockmann, Werner
fYear :
1995
fDate :
24-26 April 1995
Firstpage :
747
Abstract :
Most measurement applications are nothing but a functional relationship of one or more input signals to mostly one output, which is the sensory signal. Many of these functional mappings are very complicated and difficult to describe analytically, especially for sensor fusion problems. So methods are needed which are easy to handle. Fuzzy logic is a promising approach for it offers some useful characteristics. In particular, it allows to incorporate structural knowledge as well as to learn or to tune internal parameters automatically. In this paper, such a fuzzy system is introduced and used as a simple example of fusing multiple input signals. It is applied to an opto-electronic position sensor
Keywords :
Costs; Fuzzy neural networks; Fuzzy systems; Learning systems; Neural networks; Optical sensors; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
Conference_Location :
Waltham, MA, USA
Print_ISBN :
0-7803-2615-6
Type :
conf
DOI :
10.1109/IMTC.1995.515415
Filename :
515415
Link To Document :
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