TY - JOUR
T1 - Distributed Resilient Observer
T2 - Blended Dynamics Theory Meets ℓ1-Minimization Approach
AU - Lee, Donggil
AU - Kim, Junsoo
AU - Shim, Hyungbo
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2023
Y1 - 2023
N2 - This letter presents a distributed resilient observer for continuous-time linear time-invariant plants that remains functional even under sensor attacks. The proposed method aims to determine the estimation outcome that matches the majority of sensor measurements, which is formulated as an ℓ 1 -minimization problem considering all the observable components of each sensor measurement. A distributed observer based on the blended dynamics theory is then proposed to solve the ℓ 1 -minimization problem in a distributed manner. As a result, the distributed resilient estimation is enabled for a broader class of systems compared to previous works. The design procedure is constructive with parameters obtained from a specified condition that is equivalent to the well-known null-space property.
AB - This letter presents a distributed resilient observer for continuous-time linear time-invariant plants that remains functional even under sensor attacks. The proposed method aims to determine the estimation outcome that matches the majority of sensor measurements, which is formulated as an ℓ 1 -minimization problem considering all the observable components of each sensor measurement. A distributed observer based on the blended dynamics theory is then proposed to solve the ℓ 1 -minimization problem in a distributed manner. As a result, the distributed resilient estimation is enabled for a broader class of systems compared to previous works. The design procedure is constructive with parameters obtained from a specified condition that is equivalent to the well-known null-space property.
KW - distributed control
KW - Networked control systems
KW - observers for linear systems
UR - http://www.scopus.com/inward/record.url?scp=85162645519&partnerID=8YFLogxK
U2 - 10.1109/LCSYS.2023.3284592
DO - 10.1109/LCSYS.2023.3284592
M3 - Article
AN - SCOPUS:85162645519
SN - 2475-1456
VL - 7
SP - 2083
EP - 2088
JO - IEEE Control Systems Letters
JF - IEEE Control Systems Letters
ER -