Fuzzy controller synthesis with neural network process models

Wndy Foslien, Tariq Samad

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

4 Scopus citations

Abstract

The general problem considered is the optimization of a fuzzy controller using a neural network model for the process in the optimization procedure. The integration of neural network models with fuzzy control is particularly appropriate since both techniques are best used when detailed analytical understanding of a process is not available. To illustrate this concept, a fuzzy controller was synthesized for a simple nonlinear process. An algebraic feedforward neural network was used for modeling the process, and an optimization criterion based on set point error was selected.

Original languageEnglish (US)
Title of host publicationProc 1993 IEEE Int Symp Intell Control
PublisherPubl by IEEE
Pages370-375
Number of pages6
ISBN (Print)0780312074
StatePublished - Dec 1 1993
EventProceedings of the 1993 IEEE International Symposium on Intelligent Control - Chicago, IL, USA
Duration: Aug 25 1993Aug 27 1993

Publication series

NameProc 1993 IEEE Int Symp Intell Control

Other

OtherProceedings of the 1993 IEEE International Symposium on Intelligent Control
CityChicago, IL, USA
Period8/25/938/27/93

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