Inverse mapping using FLS and its application to control

Author

Ryu, Sang-Moon ; Park, Dong-Jo ; Oh, Seok-Yong

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

2

fYear

1995

fDate

22-25 Oct 1995

Firstpage

1245

Abstract

Many engineering applications need to solve control and optimization problems which depend significantly on obtaining inverse solutions for nonlinear and/or underconstrained systems. But, unlike linear functions, there is no known standard method for solving inverse mapping of nonlinear functions in general. This paper presents a method for solving inverse mapping of a continuous nonlinear function learned by a fuzzy logic system (FLS). And through an application to a nonlinear plant control problem the authors show validation of the proposed method

Keywords

approximation theory; function approximation; fuzzy logic; inverse problems; nonlinear control systems; continuous nonlinear function; fuzzy logic system; inverse mapping; nonlinear plant control problem; underconstrained systems; Control systems; Ear; Fuzzy logic; Inverse problems; Mathematical model; Multi-layer neural network; Neural networks; Nonlinear control systems; Nonlinear systems; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.537942

Filename

537942