Title :
H∞-property of the discrete-time extended Kalman filter with stochastic ℓ2 disturbances
Author :
Jennifer L. Bonniwell;Susan C. Schneider;Edwin E. Yaz
Author_Institution :
Electrical and Computer Engineering Department, Marquette University, Milwaukee, WI 53233, United States
Abstract :
This work analyzes the energy gain of the discrete-time extended Kalman filter used as a nonlinear observer in the presence of stochastic ℓ2 type disturbances to highlight another theoretical property of the ubiquitous extended Kalman filter. The stochastic analysis provides a bound on the ratio of estimation error energy to disturbance energy, which shows that along with being the locally optimal minimum variance estimator, the extended Kalman filter inherently has the H∞-property. A special case of this result is also shown to be the H2-property of the extended Kalman filter.
Keywords :
"Estimation error","Kalman filters","Nonlinear systems","Symmetric matrices","Observers","Convergence","Upper bound"
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
DOI :
10.1109/CDC.2015.7403321