Abstract
We show that under suitable hypothesis that the minimum energy estimate of the state of a partially observed dynamical system converges to the true state. The main assumption is that the system is uniformly observable for any input.
Keywords: Nonlinear Observer, State Estimation, Nonlinear Filtering, Minimum Energy Estimation, High Gain Observers, Extended Kalman Filter, Uniformly Observable for Any Input.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Rights and permissions
About this paper
Cite this paper
Krener, A.J. The Convergence of the Minimum Energy Estimator. In: Kang, W., Borges, C., Xiao, M. (eds) New Trends in Nonlinear Dynamics and Control and their Applications. Lecture Notes in Control and Information Science, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45056-6_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-45056-6_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40474-3
Online ISBN: 978-3-540-45056-6
eBook Packages: Springer Book Archive