Fuzzy Controller for MIMO Systems using Defuzzification based on Boolean Relations (DBR)

Author

Soriano, Jairo ; Olarte, Andres ; Melgarejo, Miguel

Author_Institution

Lab. for Autom., Microelectron. & Computional Intelligence, Univ. Distrital Francisco Jose de Caldas, Bogota

fYear

2005

fDate

25-25 May 2005

Firstpage

271

Lastpage

275

Abstract

This paper presents a methodology to control multiple input-multiple output systems using fuzzy logic and Boolean relations. The method proposes to design a fuzzy controller whose inference and defuzzification stages are simplified thanks to the synthesis of multivaluated functions. Using this approach, a nonlinear MIMO system is controlled in simulation. The synthesized controller is compared with a linearized state feedback and Mamdani controllers intended to the same application. Both control and computational complexity indices are considered in the comparison

Keywords

Boolean functions; MIMO systems; computational complexity; control system synthesis; fuzzy control; fuzzy logic; state feedback; Boolean relations; MIMO systems; Mamdani controllers; computational complexity; defuzzification; fuzzy controller design; fuzzy inference; fuzzy logic; linearized state feedback; multiple input-multiple output systems; multivaluated functions; Control system synthesis; Control systems; Design methodology; Distributed Bragg reflectors; Fuzzy control; Fuzzy logic; Fuzzy systems; Linear feedback control systems; MIMO; Nonlinear control systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Conference_Location

Reno, NV

Print_ISBN

0-7803-9159-4

Type

conf

DOI

10.1109/FUZZY.2005.1452405

Filename

1452405