TY - GEN
T1 - Value of Information in Networked Control Systems Subject to Delay
AU - Wang, Siyi
AU - Liu, Qingchen
AU - Abara, Precious Ugo
AU - Baras, John S.
AU - Hirche, Sandra
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we study the trade-off between the transmission cost and the control performance of a networked control system subject to network-induced delay. Within the linear-quadratic-Gaussian (LQG) framework, the joint design of control policy and networking strategy is decomposed into separate optimization problems. Based on the trade-off analysis, a delay-dependent Value-of-Information (VoI) metric which quanties the value of transmitting a data packet is introduced. The VoI enables the decision-makers embedded in subsystems to design the triggering policy. The proposed scalable VoI inherits the task criticality of the existing VoI metric. Additionally, the sensitivity to the system parameters such as information freshness and network delays is directly derivable. The VoI-based scheduling policy is shown to outperform the periodical triggering policy and the Age-of-Information (AoI) based policy for network control systems under transmission delay. The effectiveness of the constructed VoI with arbitrary network delay is validated through numerical simulations.
AB - In this paper, we study the trade-off between the transmission cost and the control performance of a networked control system subject to network-induced delay. Within the linear-quadratic-Gaussian (LQG) framework, the joint design of control policy and networking strategy is decomposed into separate optimization problems. Based on the trade-off analysis, a delay-dependent Value-of-Information (VoI) metric which quanties the value of transmitting a data packet is introduced. The VoI enables the decision-makers embedded in subsystems to design the triggering policy. The proposed scalable VoI inherits the task criticality of the existing VoI metric. Additionally, the sensitivity to the system parameters such as information freshness and network delays is directly derivable. The VoI-based scheduling policy is shown to outperform the periodical triggering policy and the Age-of-Information (AoI) based policy for network control systems under transmission delay. The effectiveness of the constructed VoI with arbitrary network delay is validated through numerical simulations.
UR - http://www.scopus.com/inward/record.url?scp=85126032406&partnerID=8YFLogxK
U2 - 10.1109/CDC45484.2021.9683717
DO - 10.1109/CDC45484.2021.9683717
M3 - Conference contribution
AN - SCOPUS:85126032406
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1275
EP - 1280
BT - 60th IEEE Conference on Decision and Control, CDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th IEEE Conference on Decision and Control, CDC 2021
Y2 - 13 December 2021 through 17 December 2021
ER -