DocumentCode :
2276969
Title :
A fuzzy-logic controller with on-chip learning, employing stochastic logic
Author :
Torralba, A. ; Colodro, F. ; Franquelo, L.G.
Author_Institution :
Dpto. de Ingenieria Electronica, de Sistemas y Autom., Escuela Superior de Ingenieros, Sevilla, Spain
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
1759
Abstract :
There is an increasing interest in the development of efficient fuzzy controller hardware, able to cope with the requirements of real-time systems. Several fuzzy-logic chips have been proposed using both analog and digital techniques. This paper presents a hardware implementation of a digital fuzzy controller that uses stochastic logic to implement the arithmetic functions involved in the defuzzification and learning processes. Stochastic logic systems use binary random signals whose average can be viewed as an analog value in the range [0,1]. Using stochastic logic has a number of advantages over other analog and digital implementations, such as multiplication using a simple AND gate. Stochastic logic has been successfully applied to different fields including neural processing. A proper selection of the different parts of the controller and the use of stochastic logic leads to a simple digital architecture with a short response time (less than 21 μs for a 7 bit stochastic precision and a 12 MHz system clock). A feature of the proposed controller is its learning capability, obtained by adjusting the position of the output singletons. Presently, a prototype of the controller is being designed using a 1.5 μm CMOS technology
Keywords :
CMOS logic circuits; digital control; fuzzy control; learning systems; microcontrollers; probabilistic logic; 1.5 μm CMOS technology; 1.5 mum; 12 MHz; 21 mus; AND gate; analog techniques; arithmetic functions; binary random signals; defuzzification; digital fuzzy controller; digital techniques; efficient fuzzy controller hardware; fuzzy-logic chips; fuzzy-logic controller; learning processes; on-chip learning; real-time systems; stochastic logic; CMOS technology; Control systems; Digital control; Fuzzy control; Fuzzy logic; Fuzzy systems; Hardware; Real time systems; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343949
Filename :
343949
Link To Document :
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