Nonlinear observer design with unknown nonlinearity via B-spline network approach

Author

Zhang, H.Y. ; Chan, C.W. ; Cheung, Karen C. ; Jin, H.

Author_Institution

Dept. of Autom. Control, Beijing Univ. of Aeronaut. & Astronaut., China

Volume

4

fYear

1998

fDate

21-26 Jun 1998

Firstpage

2339

Abstract

A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation term in the nonlinear observer is determined using the proposed “deconvolution method”. The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches

Keywords

compensation; deconvolution; neural nets; nonlinear systems; observers; splines (mathematics); deconvolution method; estimated compensation term; linear observer; nonlinear compensation term; nonlinear observer design; nonlinear systems; state estimation; unknown nonlinearity; Analytical models; Function approximation; Mechanical engineering; Neural networks; Nonlinear control systems; Nonlinear systems; Observers; Roads; Spline; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703049

Filename

703049