TY - GEN
T1 - Value of Information in Remote Estimation Subject to Delay and Packet Dropouts
AU - Wang, Siyi
AU - Hirche, Sandra
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Emerging cyber-physical systems impel the devel-opment of advanced network scheduling schemes to utilize communication and computation resources efficiently. This paper investigates the event-based schedule for remote state estimation in networked control systems (NCSs) subject to delay and packet dropouts. The scheduler decides whether or not to send out a local estimate according to the Value of Information (VoI) metric, which measures the relative importance of an information update. In addition, we model the triggering intervals as a Markov chain and analyze the tradeoff between the estimation performance and communication cost under the proposed VoI-based scheduling for the first-order system.
AB - Emerging cyber-physical systems impel the devel-opment of advanced network scheduling schemes to utilize communication and computation resources efficiently. This paper investigates the event-based schedule for remote state estimation in networked control systems (NCSs) subject to delay and packet dropouts. The scheduler decides whether or not to send out a local estimate according to the Value of Information (VoI) metric, which measures the relative importance of an information update. In addition, we model the triggering intervals as a Markov chain and analyze the tradeoff between the estimation performance and communication cost under the proposed VoI-based scheduling for the first-order system.
UR - http://www.scopus.com/inward/record.url?scp=85184808181&partnerID=8YFLogxK
U2 - 10.1109/CDC49753.2023.10384193
DO - 10.1109/CDC49753.2023.10384193
M3 - Conference contribution
AN - SCOPUS:85184808181
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3896
EP - 3902
BT - 2023 62nd IEEE Conference on Decision and Control, CDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 62nd IEEE Conference on Decision and Control, CDC 2023
Y2 - 13 December 2023 through 15 December 2023
ER -