TY - GEN
T1 - An Emulation Approach to Sampled-Data Synchronization
AU - Barkai, Gal
AU - Mirkin, Leonid
AU - Zelazo, Daniel
N1 - Publisher Copyright: © 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This work presents a novel approach for achieving state synchronization of homogeneous LTI agents to a trajectory generated by a prescribed reference generator under intermittent and asynchronous communication. The proposed protocol involves emulating 'ideal' global analog dynamics at each agent to generate the control signal between samples. Each agent transmits the centroid state of its local emulator rather than its own state vector, which is used to update the emulators at the receiving end. The paper guarantees synchronization with a prescribed reference generator under mild assumptions on the system's structure, persistency of connectivity, and uniform boundedness of sampling intervals. Additionally, the controller parameters are independent of the sampling interval, allowing it to be designed without any a priori knowledge of the sampling sequence. Lastly, a simplified and scalable implementation whose dimension is independent of the number of agents is also proposed.
AB - This work presents a novel approach for achieving state synchronization of homogeneous LTI agents to a trajectory generated by a prescribed reference generator under intermittent and asynchronous communication. The proposed protocol involves emulating 'ideal' global analog dynamics at each agent to generate the control signal between samples. Each agent transmits the centroid state of its local emulator rather than its own state vector, which is used to update the emulators at the receiving end. The paper guarantees synchronization with a prescribed reference generator under mild assumptions on the system's structure, persistency of connectivity, and uniform boundedness of sampling intervals. Additionally, the controller parameters are independent of the sampling interval, allowing it to be designed without any a priori knowledge of the sampling sequence. Lastly, a simplified and scalable implementation whose dimension is independent of the number of agents is also proposed.
KW - Sampled-data systems
KW - network control systems
UR - http://www.scopus.com/inward/record.url?scp=85184817021&partnerID=8YFLogxK
U2 - 10.1109/CDC49753.2023.10384079
DO - 10.1109/CDC49753.2023.10384079
M3 - منشور من مؤتمر
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6449
EP - 6454
BT - 2023 62nd IEEE Conference on Decision and Control, CDC 2023
T2 - 62nd IEEE Conference on Decision and Control, CDC 2023
Y2 - 13 December 2023 through 15 December 2023
ER -