Abstract
In the paper, the global exponential stability for impulsive delayed Clifford-valued coupled neural networks is studied. Firstly, a delayed Clifford-valued coupled neural network model is established. So as to avoid the non-commutativity issue of Clifford numbers multiplication, the original n-dimensional Clifford-valued models are decomposed into 2mn-dimensional real-valued models. Then, by using Lyapunov-Krasovskii (L-K) functional approach and the technique about linear matrix inequality, some new sufficient conditions are presented for the global exponential stability of the considered neural network models. Finally, the effectiveness of the results are verified by two numerical simulations.
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