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

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
Uncontrolled Keywords: periodic system; mode-dependent periodic Lyapunov functional approach; dissipativity-based resilient filter
Subjects: FOR Classification > 0102 Applied Mathematics
FOR Classification > 0906 Electrical and Electronic Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 21 Jan 2018 22:30
Last Modified: 17 Sep 2019 06:42
URI: http://vuir.vu.edu.au/id/eprint/35359
DOI: https://doi.org/10.1109/TNNLS.2017.2688582
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Citations in Scopus: 27 - View on Scopus

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