TY - CHAP
T1 - Secure Estimation for CPSs via Sliding Mode
AU - Wu, Chengwei
AU - Yao, Weiran
AU - Sun, Guanghui
AU - Wu, Ligang
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This chapter investigates the problem of secure state reconstruction for CPSs subject to both malicious attacks and unknown input. Firstly, CPSs are described as a discrete linear time invariant state space model. A parse vector is adopted to model malicious attacks, which can reflect its natural property well. Secondly, a sliding mode observer-based secure estimation algorithm is presented to simultaneously reconstruct the systems states, malicious attacks and unknown input signals. Thirdly, the convergence of the proposed secure estimation algorithm is analyzed, and corresponding conditions are derived.
AB - This chapter investigates the problem of secure state reconstruction for CPSs subject to both malicious attacks and unknown input. Firstly, CPSs are described as a discrete linear time invariant state space model. A parse vector is adopted to model malicious attacks, which can reflect its natural property well. Secondly, a sliding mode observer-based secure estimation algorithm is presented to simultaneously reconstruct the systems states, malicious attacks and unknown input signals. Thirdly, the convergence of the proposed secure estimation algorithm is analyzed, and corresponding conditions are derived.
UR - https://www.scopus.com/pages/publications/85117766947
U2 - 10.1007/978-3-030-88350-8_7
DO - 10.1007/978-3-030-88350-8_7
M3 - 章节
AN - SCOPUS:85117766947
T3 - Studies in Systems, Decision and Control
SP - 135
EP - 160
BT - Studies in Systems, Decision and Control
PB - Springer Science and Business Media Deutschland GmbH
ER -