TY - GEN
T1 - Secure state estimation for nonlinear power systems under cyber attacks
AU - Hu, Qie
AU - Fooladivanda, Dariush
AU - Chang, Young Hwan
AU - Tomlin, Claire J.
N1 - Funding Information:
This work is supported by NSF under CPS:ActionWebs (CNS-0931843) and CPS:FORCES (CNS1239166), by ONR under MIT-5710002646 (SMARTS MURI).
Publisher Copyright:
© 2017 American Automatic Control Council (AACC).
PY - 2017/6/29
Y1 - 2017/6/29
N2 - This paper focuses on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements. In particular, we consider a wide class of nonlinear systems, and propose a technique which enables us to perform secure state estimation for such nonlinear systems. We then provide guarantees on the achievable state estimation error against arbitrary corruptions, and analytically characterize the number of errors that can be perfectly corrected by a decoder. To illustrate how the proposed nonlinear estimation approach can be applied to practical systems, we focus on secure estimation for the wide area control of an interconnected power system under cyber-physical attacks and communication failures, and propose a secure estimator for the power system. Finally, we numerically show that the proposed secure estimation algorithm enables us to reconstruct the attack signals accurately.
AB - This paper focuses on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements. In particular, we consider a wide class of nonlinear systems, and propose a technique which enables us to perform secure state estimation for such nonlinear systems. We then provide guarantees on the achievable state estimation error against arbitrary corruptions, and analytically characterize the number of errors that can be perfectly corrected by a decoder. To illustrate how the proposed nonlinear estimation approach can be applied to practical systems, we focus on secure estimation for the wide area control of an interconnected power system under cyber-physical attacks and communication failures, and propose a secure estimator for the power system. Finally, we numerically show that the proposed secure estimation algorithm enables us to reconstruct the attack signals accurately.
UR - http://www.scopus.com/inward/record.url?scp=85027031185&partnerID=8YFLogxK
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U2 - 10.23919/ACC.2017.7963372
DO - 10.23919/ACC.2017.7963372
M3 - Conference contribution
AN - SCOPUS:85027031185
T3 - Proceedings of the American Control Conference
SP - 2779
EP - 2784
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 American Control Conference, ACC 2017
Y2 - 24 May 2017 through 26 May 2017
ER -