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**LMI-based approach for exponential robust stability of high-order Hopfield neural networks with time-varying delays.**
*(English)*
Zbl 1244.93133

Summary: This paper studies the problems of global exponential robust stability of high-order hopfield neural networks with time-varying delays. By employing a new Lyapunov-Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high-order neural networks are established, which are easily verifiable and have a wider adaptive.

### MSC:

93D09 | Robust stability |

93D05 | Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory |

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\textit{Y. Wang} and \textit{L. Wang}, J. Appl. Math. 2012, Article ID 182745, 8 p. (2012; Zbl 1244.93133)

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### References:

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