Quasi‐stabilization/synchronization of quaternion‐valued memristive neural networks: Norm approach
Ruoxia Li, Jinde Cao · Mathematical Methods in the Applied Sciences · 2024
This paper examines the quasi‐stabilization and synchronization of memristive neural networks in high dimensional forms. First, new criteria for the existence of the equilibrium point (EP) are delivered by contraction mapping principle. Then, a new Lyapunov function described with one‐norm form is imported for quasi‐stabilization/synchronization of the system. Finally, two numerical examples containing simulations are given to demonstrate the effectiveness.