Attack-resilient estimation of switched nonlinear cyber-physical systems

Hunmin Kim, Pinyao Guo, Minghui Zhu, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


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 languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509059928
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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