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Published in 2022 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2022.2080297
Abstract: In this article, the variance-constrained distributed secure filtering issue based on communication protocol is investigated for time-varying stochastic systems with measurement censoring and cyber attacks over wireless sensor networks. In order to accurately characterise the…
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Keywords:
constrained distributed;
variance constrained;
protocol;
variance ... See more keywords
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2
Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3170911
Abstract: This brief considers robust Kalman filtering problem for linear discrete-time systems with convex polytopic uncertain parameters. First, we characterize the uncertain parameter matrices as a combination of several vertex matrices. Then, based on the mean…
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Keywords:
robust kalman;
variance constrained;
convex polytopic;
filter ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3244101
Abstract: Stochastic graph neural networks (SGNNs) are information processing architectures that learn representations from data over random graphs. SGNNs are trained with respect to the expected performance, which comes with no guarantee about deviations of particular…
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Keywords:
neural networks;
variance constrained;
stochastic graph;
graph neural ... See more keywords
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Published in 2019 at "Advances in Difference Equations"
DOI: 10.1186/s13662-019-2000-0
Abstract: In this paper, the robust optimal filtering problem is discussed for time-varying networked systems with randomly occurring quantized measurements via the variance-constrained method. The stochastic nonlinearity is considered by statistical form. The randomly occurring quantized…
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Keywords:
quantized measurements;
boundedness;
occurring quantized;
variance constrained ... See more keywords