Title :
Set-valued state estimation via a limited capacity communication channel
Author :
Savkin, Andrey V. ; Petersen, Ian R.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW, Australia
fDate :
4/1/2003 12:00:00 AM
Abstract :
This paper considers a state estimation problem for a linear continuous-time system via a limited capacity communication channel. The observation must be coded and transmitted via a limited capacity digital communication channel. A recursive order-decoder state estimation scheme is proposed and investigated.
Keywords :
Kalman filters; channel estimation; decoding; digital communication; linear systems; state estimation; time-varying systems; uncertain systems; Kalman filtering; communication constraints; continuous-time system; digital communication channels; linear system; networked control systems; recursive order-decoder; state estimation; time-varying system; uncertain system; Automatic control; Channel capacity; Communication channels; Communication system control; Control systems; Delay; Frequency estimation; Kalman filters; State estimation; Stochastic processes;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2003.809770
