TY - JOUR
T1 - An improved hybrid sensor schedule for remote state estimation under limited communication resources
AU - Wu, Junfeng
AU - Johansson, Karl Henrik
AU - Shi, Ling
PY - 2012
Y1 - 2012
N2 - In this paper, we consider remote state estimation. A sensor locally processes its measurement data and sends its local estimate to a remote estimator for further processing. Due to the limited communication resources, the sensor can only communicate with the estimator for a pre-specified number within a given horizon. We propose a hybrid sensor data schedule which introduces an event-triggering mechanism on top of an optimal offline sensor schedule. This hybrid schedule, having a small implementation cost, leads to a smaller estimation error at the remote estimator when compared with the optimal offline sensor schedule.
AB - In this paper, we consider remote state estimation. A sensor locally processes its measurement data and sends its local estimate to a remote estimator for further processing. Due to the limited communication resources, the sensor can only communicate with the estimator for a pre-specified number within a given horizon. We propose a hybrid sensor data schedule which introduces an event-triggering mechanism on top of an optimal offline sensor schedule. This hybrid schedule, having a small implementation cost, leads to a smaller estimation error at the remote estimator when compared with the optimal offline sensor schedule.
UR - https://openalex.org/W2029920780
UR - https://www.scopus.com/pages/publications/84874256985
U2 - 10.1109/CDC.2012.6426812
DO - 10.1109/CDC.2012.6426812
M3 - Conference article published in journal
SN - 0743-1546
SP - 3305
EP - 3310
JO - Proceedings of the IEEE Conference on Decision and Control
JF - Proceedings of the IEEE Conference on Decision and Control
M1 - 6426812
T2 - 51st IEEE Conference on Decision and Control, CDC 2012
Y2 - 10 December 2012 through 13 December 2012
ER -