Samenvatting
In this note, we present the synthesis of secure-by-construction controllers that address safety and security properties simultaneously in cyber-physical systems. Our focus is on studying a specific security property called opacity, which characterizes the system's ability to maintain plausible deniability of its secret behavior in the presence of an intruder. These controllers are synthesized based on a concept of so-called (augmented) control barrier functions. We propose conditions that facilitate the construction of the desired (augmented) control barrier functions and their corresponding secure-by-construction controllers. To compute these functions, we propose an iterative scheme that leverages iterative sum-of-square programming techniques. This approach enables efficient computation of these functions, particularly for polynomial systems. Finally, we validate the effectiveness of our results through a case study of a vehicle.
| Originele taal-2 | Engels |
|---|---|
| Artikelnummer | 10849614 |
| Pagina's (van-tot) | 4170-4177 |
| Aantal pagina's | 8 |
| Tijdschrift | IEEE Transactions on Automatic Control |
| Volume | 70 |
| Nummer van het tijdschrift | 6 |
| DOI's | |
| Status | Gepubliceerd - jun. 2025 |
| Extern gepubliceerd | Ja |
Financiering
The work of Marco Caccamo was supported by an Alexander von Humboldt Professorship endowed by the German Federal Ministry of Education and Research. This work was supported in part by Guangzhou-HKUST(GZ) Joint Funding Program under Grant 2023A03J0008, Education Bureau of Guangzhou Municipality, in part by NSF under Grant ECCS-2015403, in part by Digital Futures, and the German Research Foundation under Grant ZA 873/7-1. Received 19 February 2024; revised 28 August 2024; accepted 18 January 2025. Date of publication 22 January 2025; date of current version 30 May 2025. The work of Marco Caccamo was supported by an Alexander von Humboldt Professorship endowed by the German Federal Ministry of Education and Research. This work was supported in part by Guangzhou-HKUST(GZ) Joint Funding Program under Grant 2023A03J0008, Education Bureau of Guangzhou Municipality, in part by NSF under Grant ECCS-2015403, in part by Digital Futures, and the German Research Foundation under Grant ZA 873/7-1. Recommended by Associate Editor U. Topcu. (Corresponding author: Siyuan Liu.) Bingzhuo Zhong is with the Thrust of Artificial Intelligence, Information Hub, and the Thrust of Intelligent Transportation, System Hub, Hong Kong University of Science and Technology, Guangzhou 511455, China (e-mail: [email protected]).
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