Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27403
Title: Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission
Authors: Song, W
Wang, Z
Li, Z
Han, Q-L
Yue, D
Keywords: complex networks;dynamic event-triggered protocol;dynamical bias;maximum correntropy filtering (MCF);non-Gaussian noises
Issue Date: 21-Aug-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Song, W. et al. (2023) 'Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission', IEEE Transactions on Neural Networks and Learning Systems, 2023, 0 (early access), pp. 1 - 14. doi: 10.1109/tnnls.2023.3302190.
URI: https://bura.brunel.ac.uk/handle/2438/27403
DOI: https://doi.org/10.1109/tnnls.2023.3302190
ISSN: 2162-237X
Other Identifiers: ORCID iD: Weihao Song https://orcid.org/0000-0003-3604-3224
ORCID iD: Zidong Wang https://orcid.org/0000-0002-9576-7401
ORCID iD: Zhongkui Li https://orcid.org/0000-0002-9361-4305
ORCID iD: Qing-Long Han https://orcid.org/0000-0002-7207-0716
ORCID iD: Dong Yue https://orcid.org/0000-0001-7810-9338
Appears in Collections:Dept of Computer Science Research Papers

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