An intelligent adaptive fuzzy-neural control system for applications in hazardous environments

Author

Bedekar, Mangesh V. ; Bedekar, Hemant V.

Author_Institution

Dept. of Comput. Sci. & Eng., S.S.G.M.C.E., Maharashtra, India

fYear

1997

fDate

27 Jul-1 Aug 1997

Firstpage

1381

Abstract

The paper introduces a new control system that´s fast, accurate and intelligent. Unlike traditional techniques used to date, this system works in the optical domain i.e. it is run on optical computers which are faster than the existing computers. The control system is a merger of optical computers, fuzzy logic, and neural networks. Possible application of genetic algorithms are also proposed which are very good at finding an optimal solution. This paper deals with the advantages of optical computing, need of fuzzy logic and essential merger with neural nets

Keywords

adaptive control; fuzzy control; genetic algorithms; intelligent control; neurocontrollers; optical computing; optical neural nets; fuzzy logic; genetic algorithms; hazardous environments; intelligent adaptive fuzzy-neural control system; neural networks; optical computers; optimal solution; Adaptive control; Adaptive systems; Control systems; Corporate acquisitions; Fuzzy logic; Intelligent control; Neural networks; Optical computing; Optical control; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Conversion Engineering Conference, 1997. IECEC-97., Proceedings of the 32nd Intersociety

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-4515-0

Type

conf

DOI

10.1109/IECEC.1997.661971

Filename

661971