Title
Secure And Robust State Estimation Under Sensor Attacks, Measurement Noises, And Process Disturbances: Observer-Based Combinatorial Approach
Abstract
This paper presents a secure and robust state estimation scheme for continuous-time linear dynamical systems. The method is secure in that it correctly estimates the states under sensor attacks by exploiting sensing redundancy, and it is robust in that it guarantees a bounded estimation error despite measurement noises and process disturbances. In this method, an individual Luenberger observer (of possibly smaller size) is designed from each sensor. Then, the state estimates from each of the observers are combined through a scheme motivated by error correction techniques, which results in estimation resiliency against sensor attacks under a mild condition on the system observability. Moreover, in the state estimates combining stage, our method reduces the search space of a minimization problem to a finite set, which substantially reduces the required computational effort.
Year
Venue
Keywords
2015
2015 EUROPEAN CONTROL CONFERENCE (ECC)
minimization,indexes,robustness,redundancy,noise measurement
Field
DocType
Citations 
State observer,Linear dynamical system,Observability,Noise measurement,Control theory,Error detection and correction,Robustness (computer science),Redundancy (engineering),Observer (quantum physics),Mathematics
Conference
7
PageRank 
References 
Authors
0.49
0
3
Name
Order
Citations
PageRank
chanhwa lee1344.53
Hyungbo Shim274970.52
Yongsoon Eun37723.26