Title
Detection Of Sensor Attack And Resilient State Estimation For Uniformly Observable Nonlinear Systems
Abstract
This paper presents an attack-resilient estimation scheme for uniformly observable nonlinear systems having redundant sensors when a subset of sensors is corrupted by adversaries. We first design an individual high-gain observer from each measurement output so that partial information of system state is obtained. Then, a nonlinear error correcting problem is formulated by collecting all the information from each partial observers and it can be solved by exploiting redundancy. For most of the time, a computationally efficient monitoring system is running and it detects every influential attacks. A simple switching logic explores another combination of output measurement to find a correct candidate only when a residual signal exceeds its threshold.
Year
Venue
Field
2016
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
Residual,Mathematical optimization,Algorithm design,Observable,Nonlinear system,Linear system,Monitoring system,Control theory,Computer science,Redundancy (engineering),Observer (quantum physics)
DocType
ISSN
Citations 
Conference
0743-1546
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Junsoo Kim1143.42
chanhwa lee2344.53
Hyungbo Shim374970.52
Yongsoon Eun47723.26
Jin Heon Seo537323.20