Design of H∞ State Estimation Algorithm for Delayed Memristive Neural Networks with Variance Constraints and DoS Attack under Encoding-Decoding Scheme

This paper considers the design of varianceconstrained H_{\infty} state estimation algorithm for delayed memristive neural networks subject to DoS attack under encodingdecoding scheme. To ensure the security of data transmission, an encoding-decoding communication mechanism is utilized in the transm...

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Vydané v:	2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS) s. 93 - 98
Hlavní autori:	Li, Jiaying, Gao, Yan, Du, Junhua, Li, Jiaxing, Liu, Sitong, Ali, Mahliya, Pazlamu, Halisa
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 19.08.2025
Predmet:	Complex systems Data security DoS attack Encoding encoding-decoding scheme H∞ performance Memristive neural networks Neural networks Optimization Performance analysis State estimation Sufficient conditions Upper bound variance constraint
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