Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Dec. 2015, Honolulu)
Frequency Domain Uncertainty in PO-MOESP Method
Kenji Ikeda
Author information
JOURNAL FREE ACCESS

2016 Volume 2016 Pages 104-111

Details
Abstract
This paper provides an estimation method of the uncertainty of the pulse transfer function from the covariance matrices of the estimates of the vectorized system matrices in PO-MOESP method, in which Kalman gain and the covariance of the innovations process are consistently estimated by using the previously proposed method by the author. In the conventional methods, the estimates of Kalman gain and the covariance of the innovations process are asymptotically consistent, i.e., the estimates converges in probability to the true value as not only the data length but also the past horizon go to infinity. The contribution of the paper is to provide a consistent estimate of the frequency domain uncertainty for fixed past/future horizons.
Content from these authors
© 2016 ISCIE Symposium on Stochastic Systems Theory and Its Applications
Previous article Next article
feedback
Top