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.
Original language | English (US) |
---|---|
Title of host publication | 2017 American Control Conference, ACC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4328-4333 |
Number of pages | 6 |
ISBN (Electronic) | 9781509059928 |
DOIs | |
State | Published - Jun 29 2017 |
Event | 2017 American Control Conference, ACC 2017 - Seattle, United States Duration: May 24 2017 → May 26 2017 |
Publication series
Name | Proceedings of the American Control Conference |
---|---|
ISSN (Print) | 0743-1619 |
Other
Other | 2017 American Control Conference, ACC 2017 |
---|---|
Country | United States |
City | Seattle |
Period | 5/24/17 → 5/26/17 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
}
Attack-resilient estimation of switched nonlinear cyber-physical systems. / Kim, Hunmin; Guo, Pinyao; Zhu, Minghui; Liu, Peng.
2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4328-4333 7963621 (Proceedings of the American Control Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Attack-resilient estimation of switched nonlinear cyber-physical systems
AU - Kim, Hunmin
AU - Guo, Pinyao
AU - Zhu, Minghui
AU - Liu, Peng
PY - 2017/6/29
Y1 - 2017/6/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85027008048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027008048&partnerID=8YFLogxK
U2 - 10.23919/ACC.2017.7963621
DO - 10.23919/ACC.2017.7963621
M3 - Conference contribution
AN - SCOPUS:85027008048
T3 - Proceedings of the American Control Conference
SP - 4328
EP - 4333
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -