About MIMO system with fuzzy inference

Author

Butkiewicz, Eiohdan S.

Author_Institution

Inst. of Electron. Syst., Warsaw Univ. of Technol., Poland

Volume

2

fYear

2001

fDate

25-28 July 2001

Firstpage

1165

Abstract

Many different reasoning methods are described in the literature. Generally, modus ponens reasoning with triangular norms is used for MIMO systems. The author discusses the necessary conditions and usefulness of some operations that it is possible to use for approximate reasoning. The main attention is applied to the properties of ℬ-operations, introduced earlier by the author (Proc. 5th Conf . Neural Networks and Soft Computing, Zakopane, Poland, 2000, pp. 290-295), mean operations and some others. Illustrative examples of a system with a fuzzy controller of PD or PID type and with three different plants are presented. A comparison of different reasoning and defuzzification methods is accomplished

Keywords

MIMO systems; fuzzy control; fuzzy logic; fuzzy systems; inference mechanisms; three-term control; two-term control; B-operations; MIMO system; PD controller; PID controller; approximate reasoning; defuzzification methods; fuzzy controller; fuzzy inference; mean operations; modus ponens reasoning; necessary conditions; triangular norms; Bismuth; Control equipment; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; MIMO; PD control; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944770

Filename

944770