TY - GEN
T1 - Distributed State Estimation of Linear Systems under Uniformly Connected Switching Networks
AU - Zhang, Lan
AU - Lu, Maobin
AU - Deng, Fang
AU - Chen, Jie
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, the distributed state estimation problem of linear systems under switching communication networks is investigated. A distributed Luenberger observer is developed that can achieve distributed unbiased asymptotic state estimation if the communication networks are uniformly connected and the observed system is jointly observable. Compared with the existing results, the salient feature of this work is that the developed approach is more resilient to unreliable communication.
AB - In this paper, the distributed state estimation problem of linear systems under switching communication networks is investigated. A distributed Luenberger observer is developed that can achieve distributed unbiased asymptotic state estimation if the communication networks are uniformly connected and the observed system is jointly observable. Compared with the existing results, the salient feature of this work is that the developed approach is more resilient to unreliable communication.
UR - http://www.scopus.com/inward/record.url?scp=85126058792&partnerID=8YFLogxK
U2 - 10.1109/CDC45484.2021.9683045
DO - 10.1109/CDC45484.2021.9683045
M3 - Conference contribution
AN - SCOPUS:85126058792
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4008
EP - 4013
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 -