Apparatus for automatically generating and adjusting fuzzy reaso

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395 61, 395900, G05B 1302

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active

054406722

ABSTRACT:
An apparatus and method for automatically generating and adjusting fuzzy reasoning, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.

REFERENCES:
patent: 4837725 (1989-06-01), Yamakawa
patent: 5134568 (1992-07-01), Sainen
patent: 5179634 (1993-01-01), Matsunaga
patent: 5191638 (1993-03-01), Wakami et al.
patent: 5241651 (1993-08-01), Ueda
patent: 5267348 (1993-11-01), Someya
patent: 5295061 (1994-03-01), Katayama
patent: 5347615 (1994-09-01), Yamakawa et al.
T. Takagi et al., Fuzzy Identification of Systems and Its Application to Modeling and Control, IEEE Transactions on Systems Man, and Cybernetics, vol. SMC-15, No. 1, pp. 116-132 (1985).
M. Sugeno et al., Structure Identification of Fuzzy Model, Fuzzy Sets and Systems, 28, pp. 15-33, North Holland, 1988.
H. Ichihashi, Iterative Fuzzy Modeling and Hierarchical Network, Proceedings of 4th IFSA Congress, Brussels, pp. 49-51, 1991.
H. Nomura et al., A Self-Tuning Method of Fuzzy Control by Descent Method, Proceedings of 4th IFSA Congress, Brussels, pp. 155-158 (1991).
Linkens et al., "Self-Organizing Fuzzy Logic Control for Real Time Processes", Int'l Conf. on Control, Mar. 25-28, 1991, vol. 2, pp. 971-976.
Langari et al., "Self-Organizing Fuzzy Linguistic Control with Application to Arc Welding", IEEE Int'l Workshop on Intelligent Robots & Systems, Jul. 1990, pp. 1007-1014.
Ichihashi, "Iterative Fuzzy Modeling and Hierarchical Network", Proc. of 4th IFSA Congress, Brussels, 1991, pp. 49-51.
Nomura et al., "A Self-Tuning Method of Fuzzy Control by Descent Method", Proc. of 4th IFSA Congress, Brussels, 1991, pp. 155-158.

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