Results 181 to 190 of about 389,136 (225)
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IEEE Transactions on Automatic Control, 2022
With the wide application of cyber-physical systems, stealthy attacks on remote state estimation have attracted increasing research attention. Recently, various stealthy innovation-based linear attack models were proposed, in which the relaxed ...
Jun Shang, Hao Yu, Tongwen Chen
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With the wide application of cyber-physical systems, stealthy attacks on remote state estimation have attracted increasing research attention. Recently, various stealthy innovation-based linear attack models were proposed, in which the relaxed ...
Jun Shang, Hao Yu, Tongwen Chen
semanticscholar +1 more source
An Online Kullback–Leibler Divergence-Based Stealthy Attack Against Cyber-Physical Systems
IEEE Transactions on Automatic Control, 2023This article investigates the design of online stealthy attacks with the aim of moving the system's state to the desired target. Different from the design of offline attacks, which is only based on the system's model, to design the online attack, the ...
Qirui Zhang +5 more
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IEEE Transactions on Instrumentation and Measurement, 2022
Quality-related fault detection is an effective way to ensure the stability of product quality and the safety of industrial processes. Quality abnormality is often caused by incipient faults, which propagate through the connectivity path among the ...
Jie Dong +3 more
semanticscholar +1 more source
Quality-related fault detection is an effective way to ensure the stability of product quality and the safety of industrial processes. Quality abnormality is often caused by incipient faults, which propagate through the connectivity path among the ...
Jie Dong +3 more
semanticscholar +1 more source
Dispersion indices based on Kerridge inaccuracy measure and Kullback-Leibler divergence
Communications in Statistics - Theory and Methods, 2023Recently, a new dispersion index, as a measures of information, has been introduced and called varentropy. In this article, we introduce new measures of variability based on two measures of uncertainty, namely, the Kerridge inaccuracy measure and the ...
N. Balakrishnan +3 more
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, 2021
Accurate monitoring of degradation in bearing is essential for preventing unexpected shutdown of a machinery system. This paper proposes a novel health degradation indicator for machineries, based on a Kullback-Leibler divergence.
P. Kumar, L. Kumaraswamidhas, S. K. Laha
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Accurate monitoring of degradation in bearing is essential for preventing unexpected shutdown of a machinery system. This paper proposes a novel health degradation indicator for machineries, based on a Kullback-Leibler divergence.
P. Kumar, L. Kumaraswamidhas, S. K. Laha
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Kullback–Leibler Divergence Metric Learning
IEEE Transactions on Cybernetics, 2020The Kullback–Leibler divergence (KLD), which is widely used to measure the similarity between two distributions, plays an important role in many applications.
Shuyi Ji +5 more
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On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Neural Information Processing Systems, 2021Kullback-Leibler (KL) divergence is one of the most important divergence measures between probability distributions. In this paper, we prove several properties of KL divergence between multivariate Gaussian distributions.
Yufeng Zhang +4 more
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Kullback-Leibler Divergence Analysis for Integrated Radar and Communications (RadCom)
IEEE Wireless Communications and Networking Conference, 2023In this paper, we provide performance analysis for an integrated radar-communication (RadCom) system based on the relative information (RE), also called the Kullback-Leibler divergence (KLD) theorem.
M. Al-jarrah, E. Alsusa, C. Masouros
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Control Engineering Practice, 2021
Early detection of downhole faults in geological drilling processes can effectively reduce downtime and prevent catastrophic drilling accidents. Considering that the changes of drilling signals in early faults are difficult to observe while the data ...
Yupeng Li +4 more
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Early detection of downhole faults in geological drilling processes can effectively reduce downtime and prevent catastrophic drilling accidents. Considering that the changes of drilling signals in early faults are difficult to observe while the data ...
Yupeng Li +4 more
semanticscholar +1 more source
Blind Deblurring of Barcodes via Kullback-Leibler Divergence
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Barcode encoding schemes impose symbolic constraints which fix certain segments of the image. We present, implement, and assess a method for blind deblurring and denoising based entirely on Kullback-Leibler divergence.
Gabriel Rioux +4 more
semanticscholar +1 more source