The problem of state estimation via asynchronous communication channels with irregular transmission times

Author

Matveev, Alexey S. ; Savkin, Andrey V.

Author_Institution

Dept. of Math. & Mech., St. Petersburg Univ., Russia

Volume

4

fYear

2001

fDate

2001

Firstpage

3880

Abstract

We study a linear discrete-time partially observed system perturbed by white noises. The observations are transmitted to the controller via communication channels with irregular transmission times. Various measurement signals and even parts of a given sensor output may incur independent delays; messages transferred via the channels may be lost or corrupted. The minimum variance state estimation problem is solved. It is shown that the proposed state estimator is exponentially stable under natural assumptions

Keywords

Kalman filters; discrete time systems; state estimation; telecommunication channels; telecommunication control; white noise; asynchronous communication channels; communication channels; independent delays; irregular transmission times; linear discrete-time partially observed system; measurement signals; minimum variance state estimation problem; natural assumptions; perturbation; sensor output; state estimation; white noises; Aircraft manufacture; Asynchronous communication; Communication channels; Communication system control; Delay estimation; Delay systems; Mathematics; Sensor phenomena and characterization; Sensor systems; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2001. Proceedings of the 40th IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-7061-9

Type

conf

DOI

10.1109/.2001.980476

Filename

980476