Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements

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Lu, R, Tao, J, Shi, Peng ORCID: 0000-0001-8218-586X, Su, H, Wu, ZG and Xu, Y (2017) Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/35359
DOI https://doi.org/10.1109/TNNLS.2017.2688582
Official URL http://ieeexplore.ieee.org/document/7896647/
Subjects Historical > FOR Classification > 0102 Applied Mathematics
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > College of Science and Engineering
Keywords periodic system; mode-dependent periodic Lyapunov functional approach; dissipativity-based resilient filter
Citations in Scopus 59 - View on Scopus
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