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 (external link), 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 | 10.1109/TNNLS.2017.2688582 (external link) |
Official URL | http://ieeexplore.ieee.org/document/7896647/ (external link) |
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 | 63 - View on Scopus (external link) |
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