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中文摘要：
分析了一类具有多时滞及参数摄动的Cohen-Grossberg神经网络的全局鲁棒稳定性．通过构造适当的Lyapunov泛函，以线性矩阵不等式形式给出了平衡点全局鲁棒稳定的判据．此外，所有结论的建立都不需要假定互连矩阵的对称性及激活函数的可微性和单调性．仿真结果进一步证明了结论的有效性．
英文摘要：
Global robust stability of a class of Cohen-Grossberg neural networks with multiple delays and parameter perturbations is analyzed.By way of constructing a suitable Lyapunov functional,the criteria expressed by the form of linear matrix inequality （LMI） are given for the global robust stability of equilibrium point.In addition,all results are established without assuming any symmetry of the interconnecting matrix, and the differentiability and monotonicity of activation functions. The simulation samples have proved the effectiveness of the conclusion.
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