Title :
Fuzzy control in the presence of signal distributions
Author_Institution :
Corp. Res. & Dev., Siemens AG, Munich, Germany
Abstract :
The paper deals with signal distributions interpreted as fuzzy signals in the control loop, With respect to specific effects coming up with the use of sensory information like noise or spatial distribution of a signal it is of interest how the control loop behaves in the presence of fuzzy signals. Instationary fuzzy sets, especially time variant membership functions and their derivatives, are described. Furthermore, in the context of fuzzy inputs the control schemes of sliding mode fuzzy control and Takagi/Sugeno (1985) control are discussed
Keywords :
fuzzy control; fuzzy set theory; noise; signal processing; statistical analysis; Takagi/Sugeno control; control loop; fuzzy inputs; fuzzy signals; instationary fuzzy sets; noise distribution; sensory information; signal distributions; sliding mode fuzzy control; spatial distribution; time variant membership functions; Filtering; Fuzzy control; Fuzzy sets; Fuzzy systems; Histograms; Research and development; Sensor arrays; Signal processing; Sliding mode control; Tin;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.594356
