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Optimization of an on-chip fuzzy temperature controller

 
: Knobloch, J.; Presberger, T.

:

Smith, M.H.; Lee, M.A.; Keller, J.; Yen, J. ; North American Fuzzy Information Processing Society -NAFIPS-; Univ. of California, Berkeley/Calif.; IEEE Systems, Man, and Cybernetics Society; IEEE Neural Network Council:
New frontiers in fuzzy logic and soft computing. 1996 biennial conference of the North-American Fuzzy Information Processing Society
Piscataway, NJ: IEEE, 1996
ISBN: 0-7803-3225-3
ISBN: 0-7803-3226-1
S.382-386 : Lit.
North American Fuzzy Information Processing Society (Biennial Conference) <1996, Berkeley/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer IMS, Außenstelle Dresden ( IPMS) ()
Fuzzy-Logik; Gassensorik; Künstliche Intelligenz; Mikrosystemtechnik; Temperaturregelung

Abstract
A microsystem which controls the temperature on a sensor-chip and classifies gases, both by means of fuzzy logic, will be presented. Based on a realized chip, the design and the optimization of the on-chip fuzzy temperature control will be described. The results of the optimization, including genetic algorithms and evolutionary strategies, are provided. Beside the practical results the probability of reaching the final fitness in a single optimization run can be estimated.

: http://publica.fraunhofer.de/dokumente/PX-27509.html