@inproceedings{0cc4bb3b4c5147eda65227c26f5f649a,
title = "Attack-resilient estimation of switched nonlinear cyber-physical systems",
abstract = "This paper studies attack-resilient estimation of a class of switched nonlinear systems subject to stochastic process and measurement noises. The systems are threatened by both of signal attacks and switching attacks. The problem is formulated as the joint estimation of state, attack vector and mode of hidden-mode switched systems. We propose an estimation algorithm which is composed of a bank of state and attack vector estimators and a mode estimator. The mode estimator selects the most likely mode using the outputs of the state and attack vector estimators. The stability and mean square estimation error bounds for the designed estimator are formally analyzed for the true mode when the hidden mode is time-invariant but remains unknown.",
author = "Hunmin Kim and Pinyao Guo and Minghui Zhu and Peng Liu",
note = "Funding Information: This work is supported by the National Science Foundation (CNS-1505664). Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017 ; Conference date: 24-05-2017 Through 26-05-2017",
year = "2017",
month = jun,
day = "29",
doi = "10.23919/ACC.2017.7963621",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4328--4333",
booktitle = "2017 American Control Conference, ACC 2017",
address = "United States",
}