System configuration of smoothed and differential values estimator by using linear and sliding mode system

Author

Emaru, Takanori ; Tsuchiya, Takeshi

Author_Institution

Dept. of Mech. Eng. & Intelligent Syst., Univ. of Electro-Commun., Tokyo, Japan

Volume

2

fYear

2003

fDate

16-20 July 2003

Firstpage

676

Abstract

We have proposed the new nonlinear filter to estimate the smoothed and differential values by using sliding mode system (ESDS). It works very effectively to eliminate the impulse noise by keeping the sudden shift of the signals. In order to construct ESDS, it requires the system that is globally uniform and asymptotically stable at the origin. As the stable system, the minimum time system that is one of the sliding mode systems has been used. In this paper, we apply the linear system and sliding mode system that has a linear switching line as the stable system, and we clarify the validity of our theorem and configuration of ESDS.

Keywords

asymptotic stability; impulse noise; linear systems; nonlinear filters; nonlinear systems; state estimation; variable structure systems; asymptotic stability; differential values estimator; impulse noise; linear mode system; linear switching line; minimum time system; noise elimination; nonlinear filter; sliding mode system; smoothed values estimator; system configuration; Convergence; Digital filters; Electrostatic discharge; Intelligent systems; Linear systems; Nonlinear filters; Optimal control; Sliding mode control; Societies; Variable structure systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on

Print_ISBN

0-7803-7866-0

Type

conf

DOI

10.1109/CIRA.2003.1222262

Filename

1222262