Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication

DOI10.1016/j.neunet.2023.08.015zbMath1530.93461MaRDI QIDQ6091308

N. Gunasekaran, Zhigang Zeng, Fei Wei, Guici Chen

Publication date: 24 November 2023

Published in: Neural Networks (Search for Journal in Brave)

zbMATH Keywords

image encryptionfinite/fixed-time synchronizationdelayed inertial memristive neural networks (DIMNNs)settling time functionsunified control framework

Mathematics Subject Classification ID

Cryptography (94A60) Control/observation systems governed by ordinary differential equations (93C15) Networked control (93B70) Finite-time stability (93D40)

Cites Work

• Global stability and stabilization for inertial memristive neural networks with unbounded distributed delays
• Finite-time and fixed-time synchronization of discontinuous complex networks: a unified control framework design
• Robust fixed-time synchronization of delayed Cohen-Grossberg neural networks
• Time-varying feedback for regulation of normal-form nonlinear systems in \textit{prescribed} finite time
• New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays
• Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks
• Fixed-time synchronization of quaternion-valued memristive neural networks with time delays
• A note on finite-time and fixed-time stability
• Neural networks and physical systems with emergent collective computational abilities.
• Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Differential equations with discontinuous right-hand side

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