A layer-based computational model plus a database structure as a framework to build parallel fuzzy controllers

Author

De Andrade, Marco Túlio Carvalho

Author_Institution

Escola Politecnica, Sao Paulo Univ., Brazil

Volume

2

fYear

1998

fDate

21-23 Apr 1998

Firstpage

165

Abstract

Fuzzy control has received the legacy of classical control systems, more specifically in the realm of industrial process control. This legacy is accompanied by the inheritance of an important requirement: execution performance. Nowadays, for an application developer, talking about improved performance means talking about parallelism, both on software or hardware. There has been substantial progress in the design of special purpose hardware to support fuzzy controllers, but there are problems with parallel software implementations. The purpose of the paper is to present a layer-based model and a knowledge database structure that materializes the implementation of a distributed universal fuzzy controller

Keywords

control system CAD; data structures; distributed control; fuzzy control; graph theory; knowledge based systems; parallel programming; process control; application developer; distributed universal fuzzy controller; execution performance; industrial process control; knowledge database structure; layer-based computational model; parallel fuzzy controllers; special purpose hardware; Application software; Computational modeling; Control systems; Databases; Electrical equipment industry; Fuzzy control; Hardware; Industrial control; Parallel processing; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-4316-6

Type

conf

DOI

10.1109/KES.1998.725907

Filename

725907