Title :
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
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 Hinfin 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; Hinfin 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;
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
DOI :
10.1109/EIT.2009.5189593
