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- Publisher Website: 10.1002/rnc.5351
- Scopus: eid_2-s2.0-85097809861
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Article: Optimal filter design for cyber‐physical systems under stealthy hybrid attacks
Title | Optimal filter design for cyber‐physical systems under stealthy hybrid attacks |
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Authors | |
Keywords | cyber-physical systems optimal filter optimal linear filter stability stealthy hybrid attacks |
Issue Date | 2021 |
Publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/5510 |
Citation | International Journal of Robust and Nonlinear Control, 2021, v. 31 n. 4, p. 1340-1357 How to Cite? |
Abstract | This article studies the optimal filtering problem for cyber-physical systems under stealthy hybrid cyber-attacks. Due to the stealthiness of cyber-attacks, the optimal filter (OF) consists of an exponentially increasing number of terms, which makes it computationally infeasible in practice. To address this computational issue, an optimal linear filter (OLF) is developed with its estimation performance fairly close to the optimal one. Furthermore, for a system under the stealthy hybrid cyber-attacks, it is proved that when the system is stable, the exponentially increasing number of terms remain bounded, making the OF stable; and that the OLF is stable if and only if the system is stable. Finally, numerical examples are employed to illustrate the effectiveness of the proposed two filters. |
Persistent Identifier | http://hdl.handle.net/10722/303967 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 1.459 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LI, Y | - |
dc.contributor.author | Lin, H | - |
dc.contributor.author | Lam, J | - |
dc.date.accessioned | 2021-09-23T08:53:20Z | - |
dc.date.available | 2021-09-23T08:53:20Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | International Journal of Robust and Nonlinear Control, 2021, v. 31 n. 4, p. 1340-1357 | - |
dc.identifier.issn | 1049-8923 | - |
dc.identifier.uri | http://hdl.handle.net/10722/303967 | - |
dc.description.abstract | This article studies the optimal filtering problem for cyber-physical systems under stealthy hybrid cyber-attacks. Due to the stealthiness of cyber-attacks, the optimal filter (OF) consists of an exponentially increasing number of terms, which makes it computationally infeasible in practice. To address this computational issue, an optimal linear filter (OLF) is developed with its estimation performance fairly close to the optimal one. Furthermore, for a system under the stealthy hybrid cyber-attacks, it is proved that when the system is stable, the exponentially increasing number of terms remain bounded, making the OF stable; and that the OLF is stable if and only if the system is stable. Finally, numerical examples are employed to illustrate the effectiveness of the proposed two filters. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/5510 | - |
dc.relation.ispartof | International Journal of Robust and Nonlinear Control | - |
dc.rights | Submitted (preprint) Version This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Accepted (peer-reviewed) Version This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | cyber-physical systems | - |
dc.subject | optimal filter | - |
dc.subject | optimal linear filter | - |
dc.subject | stability | - |
dc.subject | stealthy hybrid attacks | - |
dc.title | Optimal filter design for cyber‐physical systems under stealthy hybrid attacks | - |
dc.type | Article | - |
dc.identifier.email | Lam, J: jlam@hku.hk | - |
dc.identifier.authority | Lam, J=rp00133 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/rnc.5351 | - |
dc.identifier.scopus | eid_2-s2.0-85097809861 | - |
dc.identifier.hkuros | 325370 | - |
dc.identifier.volume | 31 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 1340 | - |
dc.identifier.epage | 1357 | - |
dc.identifier.isi | WOS:000600495900001 | - |
dc.publisher.place | United Kingdom | - |