Neural-Network-Based Secure State Estimation Under Energy-Constrained Denial-of-Service Attacks: An Encoding-Decoding Scheme

This paper is concerned with the secure state estimation issue for a class of networked nonlinear systems under energy-constrained denial-of-service (EC-DoS) cyber-attacks and encoding-decoding scheme (EDS). The information transmissions between sensors and the estimator are executed via a bandwidth...

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Veröffentlicht in:	IEEE transactions on network science and engineering Jg. 10; H. 4; S. 1 - 14
Hauptverfasser:	Zhang, Yuhan, Wang, Zidong, Zou, Lei, Dong, Hongli, Yi, Xiaojian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Constraints Cybersecurity Denial of service attacks Denial-of-service attack Dynamic stability Encoding Encoding-Decoding encoding-decoding scheme Estimation Networked nonlinear systems Neural networks Nonlinear systems Sensors State estimation Transmission efficiency
ISSN:	2327-4697, 2334-329X
Online-Zugang:	Volltext
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