A technique for using H2 and H∞ robust state estimation on nonlinear systems

Author

Lowe, G.K. ; Zohdy, M.A.

Author_Institution

Chrysler LLC, Auburn Hills, MI, USA

fYear

2009

fDate

7-9 June 2009

Firstpage

109

Lastpage

115

Abstract

This paper describes a technique for using robust linear estimation on nonlinear systems. This technique provides a means for linearizing the nonlinear system in such a way as to not limit the large signal behavior of the target system. The nonlinearity in the target system must be able to be represented as a piecewise linear function. Furthermore, the H₂ and H_infin robust estimation techniques will be compared to each other for a sample nonlinear system.

Keywords

Kalman filters; nonlinear estimation; nonlinear systems; piecewise linear techniques; state estimation; transfer function matrices; H₂ robust state estimation technique; H_infin robust state estimation technique; Kalman filter; nonlinear estimation; nonlinear system; piecewise linear function representation; robust linear estimation; signal behavior; transfer function matrix; Hydrogen; Kalman filters; Least squares approximation; Nonlinear systems; Observers; Piecewise linear techniques; Robustness; Servomotors; Shafts; State estimation; Estimation; Nonlinear estimation; Piecewise linear modeling; Robust estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electro/Information Technology, 2009. eit '09. IEEE International Conference on

Conference_Location

Windsor, ON

Print_ISBN

978-1-4244-3354-4

Electronic_ISBN

978-1-4244-3355-1

Type

conf

DOI

10.1109/EIT.2009.5189593

Filename

5189593