Neural modeling and fuzzy control: an application to control the temperature in a thermal process

Author

Fortuna, L. ; Muscato, G. ; Nunnari, G. ; Occhipinti, L.

Author_Institution

Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy

fYear

1993

fDate

1993

Firstpage

1327

Abstract

A method for the design of a fuzzy control system for dynamic nonlinear plants is described. The proposed strategy does not require either specific knowledge of the plant or of techniques for control system design. The approach consists of two phases. First a multilayer perceptron neural network is adopted to identify a model of the process. Then the cell-to-cell algorithm is used for automatic synthesis of the fuzzy controller. An application to the control of temperature in a thermal process is reported focusing on some considerations about the suitability of the method

Keywords

control system synthesis; feedforward neural nets; fuzzy control; nonlinear control systems; temperature control; automatic synthesis; cell-to-cell algorithm; design; dynamic nonlinear plants; fuzzy control; multilayer perceptron neural network; neural modelling; temperature control; thermal process; Automatic control; Control system synthesis; Control systems; Design methodology; Fuzzy control; Multi-layer neural network; Multilayer perceptrons; Network synthesis; Neural networks; Nonlinear dynamical systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1993., Second IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0614-7

Type

conf

DOI

10.1109/FUZZY.1993.327585

Filename

327585