Fuzzy rule based analysis of industrial systems behavior

Author

Vachkov, Gancho ; Hirota, Kaoru

Author_Institution

Dept. of Autom. of Ind., Sofia Univ. of Technol., Bulgaria

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1203

Abstract

A relatively simple method of solving the inverse problem by using fuzzy rule based model of a multi-input and multi-output (MIMO) system is presented. It utilizes the concept of grid-type fuzzy model by use of a complete set of rules and numerical outputs (consequents). Then with a given system outputs, a set of so called dominant rules is extracted as possible solutions. They can be used further in analyzing the possible actions of the system inputs. Two examples show the applicability of the method proposed

Keywords

MIMO systems; fault diagnosis; fuzzy logic; identification; inference mechanisms; inverse problems; knowledge based systems; manufacturing data processing; MIMO system; approximate reasoning; dominant rules; fault diagnosis; fuzzy rule based analysis; grid-type fuzzy model; industrial systems behavior; inverse problem; Automation; Control engineering; Educational institutions; Electrical equipment industry; Fault diagnosis; Fuzzy sets; Fuzzy systems; Humans; Industrial control; Inverse problems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343906

Filename

343906