How vulnerable is innovation-based remote state estimation: fundamental limits under linear attacks

• المؤلفون الرئيسيون: Liu, Hanxiao, Ni, Yuqing, Xie, Lihua, Johansson, Karl Henrik
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Error Covariances; Estimation Errors
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161750
• المؤسسة: Nanyang Technological University

This paper is concerned with the problem of how secure the innovation-based remote state estimation can be under linear attacks. A linear time-invariant system equipped with a smart sensor is studied. A metric based on Kullback–Leibler divergence is adopted to characterize the stealthiness of the at...