An Abrupt Change Detection Heuristic with Applications to Cyber Data Attacks on Power Systems

Autor:	Sanandaji, Borhan M., Bitar, Eilyan, Poolla, Kameshwar, Vincent, Tyrone L.
Rok vydání:	2014
Předmět:	Mathematics - Dynamical Systems Computer Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	We present an analysis of a heuristic for abrupt change detection of systems with bounded state variations. The proposed analysis is based on the Singular Value Decomposition (SVD) of a history matrix built from system observations. We show that monitoring the largest singular value of the history matrix can be used as a heuristic for detecting abrupt changes in the system outputs. We provide sufficient detectability conditions for the proposed heuristic. As an application, we consider detecting malicious cyber data attacks on power systems and test our proposed heuristic on the IEEE 39-bus testbed. Comment: to appear in the 2014 American Control Conference - ACC
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1404.1978 Zobrazit plný text záznamu View this record from Arxiv