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<p>The global exponential synchronization (GES) between two chaotic neural networks is investigated by using either output coupling or state coupling. By utilizing a Lyapunov function along with Young’s inequality, some new methods are proposed for designing the coupling matrix. Several new criteria on global exponential synchronization of two chaotic neural networks are derived, independent of their initial conditions. Our findings are compared with the existing literature and numerical simulations are provided to demonstrate the effectiveness of our approach.</p>

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Global exponential synchronization of chaotic neural networks via novel coupling matrix design

  • 期刊论文

  • 发表日期：

    2025年1月31日

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  • Muhammad Shakeel,
  • Xinge Liu,
  • Shuailei Zhang,
  • Meilan Tang

摘要

The global exponential synchronization (GES) between two chaotic neural networks is investigated by using either output coupling or state coupling. By utilizing a Lyapunov function along with Young’s inequality, some new methods are proposed for designing the coupling matrix. Several new criteria on global exponential synchronization of two chaotic neural networks are derived, independent of their initial conditions. Our findings are compared with the existing literature and numerical simulations are provided to demonstrate the effectiveness of our approach.