Fuzzy neural controller

Yoichi Hayashi, Ernest Czogala, James J. Buckley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Citations (Scopus)

Abstract

The authors consider a fuzzy controller that processes fuzzy information. They discuss the model of the fuzzy controller, with fuzzy inputs for error and change in error, using a max-min neural network. A new learning algorithm, a modified delta rule, is derived. The generalization property of the neural net can be used to find a controller output for new fuzzy values of error and change in error. An example is presented showing the applicability of the fuzzy neural controller.

Original languageEnglish
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherPubl by IEEE
Pages197-202
Number of pages6
ISBN (Print)0780302362
Publication statusPublished - 1 Dec 1992
Event1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE - San Diego, CA, USA
Duration: 8 Mar 199212 Mar 1992

Publication series

Name92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE

Conference

Conference1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
CitySan Diego, CA, USA
Period8/03/9212/03/92

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Cite this

Hayashi, Y., Czogala, E., & Buckley, J. J. (1992). Fuzzy neural controller. In 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE (pp. 197-202). (92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE). Publ by IEEE.