Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme

This article is concerned with the secure state estimation problem for artificial neural networks (ANNs) subject to unknown-but-bounded noises, where sensors and the remote estimator are connected via open and bandwidth-limited communication networks. Using the encoding-decoding mechanism (EDM) and...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 36; H. 4; S. 6780 - 6791
Hauptverfasser:	Zhu, Kaiqun, Wang, Zidong, Ding, Derui, Dong, Hongli, Xu, Cheng-Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2025
Schlagworte:	Artificial neural networks Artificial neural networks (ANNs) Bandwidth bandwidth constraints Cryptography Encryption homomorphic encryption scheme (HES) Noise secure state estimation Security set-membership state estimation State estimation
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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