\(H_\infty\)/passive synchronization of semi-Markov jump neural networks subject to hybrid attacks via an activation function division approach

DOI10.1007/S11424-024-3049-8zbMATH Open1544.93156MaRDI QIDQ6595009

Hao Shen, Ziwei Zhang, Lei Su

Publication date: 29 August 2024

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

zbMATH Keywords

deception attackssemi-Markov jump neural networksdenial-of-service attacks\(H_\infty\)/passive synchronizationactivation function division approach

Mathematics Subject Classification ID

(H^infty)-control (93B36) Stability of control systems (93D99) Networked control (93B70)

Cites Work

• Observer-based controller design for singular stochastic Markov jump systems with state dependent noise
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• On observability and detectability of continuous-time stochastic Markov jump systems
• Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks
• A sliding mode approach to \(H_{\infty }\) synchronization of master-slave time-delay systems with Markovian jumping parameters and nonlinear uncertainties
• Passification-based decentralized adaptive synchronization of dynamical networks with time-varying delays
• Finite-time synchronization control for uncertain Markov jump neural networks with input constraints
• Fractal solitons, arbitrary function solutions, exact periodic wave and breathers for a nonlinear partial differential equation by using bilinear neural network method
• Finite-time and fixed-time synchronization of inertial neural networks with mixed delays
• Stochastic stability and robust stabilization of semi-Markov jump linear systems
• Reliable impulsive synchronization for fuzzy neural networks with mixed controllers

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