Low Complexity Secure State Estimation Design for Linear System with Non-derogatory Dynamics
| العنوان: | Low Complexity Secure State Estimation Design for Linear System with Non-derogatory Dynamics |
|---|---|
| المؤلفون: | Zishuo Li, Yilin Mo |
| المصدر: | 2021 60th IEEE Conference on Decision and Control (CDC). |
| بيانات النشر: | IEEE, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Electrical engineering, electronic engineering, information engineering, 93-06, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Computer Science::Cryptography and Security |
| الوصف: | We consider the problem of estimating the state of a linear Gaussian system in the presence of integrity attacks. The attacker can compromise $p$ out of $m$ sensors, the set of which is fixed and unknown to the system operator, and manipulate the measurements arbitrarily. Under the assumption that all the eigenvalues of system matrix $A$ have geometric multiplicity $1$ ($A$ is non-derogatory), we propose a secure estimation scheme that is resilient to integrity attack as long as the system is $2p$-sparse observable. In the absence of attack, the proposed estimation coincides with Kalman estimation with a certain probability that can be adjusted. Furthermore, our proposed estimator is computational efficient during the security condition checking in the designing phase and during the estimation computing in the online operating phase. A numerical example is provided to corroborate the results and illustrate the performance of the proposed estimator. conference paper for CDC 2021 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2082e66cb5b767fc91f53974c7db31b9Test https://doi.org/10.1109/cdc45484.2021.9682830Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....2082e66cb5b767fc91f53974c7db31b9 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |