Lmi Approach to Robust Stability Analysis of Hopfield Neural Networks
نویسندگان
چکیده
The robust stability of a class of Hopfield neural networks with multiple delays and parameter perturbations is analysed. The sufficient conditions for the global robust stability of equilibrium point are given by way of constructing a suitable Lyapunov-Krasovskii functional. The conditions take the form of linear matrix inequality (LMI), so they are computationally efficient. In addition, the results are independent of delays and established without assuming the differentiability and monotonicity of activation functions. Copyright © 2005 IFAC
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