Fuzzy modeling of control systems

Author

Chen, Guanrong ; Pham, Trung T. ; Weiss, Jonathan J.

Author_Institution

Dept. of Electr. Eng., Houston Univ., TX, USA

Volume

31

Issue

1

fYear

1995

Firstpage

414

Lastpage

429

Abstract

A new approach is described for fuzzy modeling of control systems. It is shown that conventional concepts and criteria of stability and controllability of a control system can be extended to a fuzzy setting. More precisely, we establish a fuzzy dynamical model for nonlinear control system, that can be consistently applied to all linear multiinput/multioutput (MIMO) systems. This modeling is a fairly general representation of fuzzy control systems, and satisfies some natural extensions of the criteria such as stability and controllability, that conventional control experts use to evaluate a control system.<>

Keywords

MIMO systems; controllability; fuzzy control; nonlinear control systems; optimal control; stability; control systems; controllability; criteria of stability; fuzzy dynamical model; fuzzy interval partitioning; fuzzy modeling; fuzzy optimal control; fuzzy setting; linear multiinput/multioutput systems; nonlinear control system; stability; Aerodynamics; Control system synthesis; Control systems; Control theory; Controllability; Fuzzy control; Fuzzy systems; MIMO; Optimal control; Stability criteria;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.366323

Filename

366323