Event-Triggered State Observers for Sparse Sensor Noise/Attacks

This paper describes two algorithms for state reconstruction from sensor measurements that are corrupted with sparse, but otherwise arbitrary, "noise." These results are motivated by the need to secure cyber-physical systems against a malicious adversary that can arbitrarily corrupt sensor...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 61; no. 8; pp. 2079 - 2091
Main Authors Shoukry, Yasser, Tabuada, Paulo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.08.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Eigenvalues and eigenfunctions
Event-triggered observers
Heuristic algorithms
Noise
Observability
Observers
Optimization
secure cyber-physical systems
secure state reconstruction
sensor attacks
Yttrium
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Summary:This paper describes two algorithms for state reconstruction from sensor measurements that are corrupted with sparse, but otherwise arbitrary, "noise." These results are motivated by the need to secure cyber-physical systems against a malicious adversary that can arbitrarily corrupt sensor measurements. The first algorithm reconstructs the state from a batch of sensor measurements while the second algorithm is able to incorporate new measurements as they become available, in the spirit of a Luenberger observer. A distinguishing point of these algorithms is the use of event-triggered techniques to improve the computational performance of the proposed algorithms.
Bibliography:ObjectType-Article-1
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content type line 14
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2015.2492159