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Stability analysis of quaternion‐valued Cohen‐Grossberg neural networks
Authors:Ruoxia Li  Xingbao Gao  Jinde Cao  Kai Zhang
Abstract:In this paper, by starting from basic quaternion algebra properties and algorithms, a quaternion‐valued Cohen‐Grossberg neural network was derived, subsequently, several new sufficient conditions are derived to ensure existence and global asymptotic stability (GAS) and global exponential stability (GES) of the equilibrium point (EP) for quaternion‐valued Cohen‐Grossberg neural networks. The obtained criteria can be checked easily in practice and have a distinguished feature from previous studies. Finally, we have numerical evidences that the mathematical system and the conclusions presented are validated.
Keywords:Cohen‐Grossberg  Lyapunov and other classical stabilities  neural networks  quaternion‐valued  stability
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