State Estimation for Neural Networks with Leakage Delay and Time‐Varying Delays

Jing Liang, Zengshun Chen and Qiankun Song

Abstract and Applied Analysis, 2013, vol. 2013, issue 1

Abstract: The state estimation problem is investigated for neural networks with leakage delay and time‐varying delay as well as for general activation functions. By constructing appropriate Lyapunov‐Krasovskii functionals and employing matrix inequality techniques, a delay‐dependent linear matrix inequalities (LMIs) condition is developed to estimate the neuron state with some observed output measurements such that the error‐state system is globally asymptotically stable. An example is given to show the effectiveness of the proposed criterion.

Date: 2013
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https://doi.org/10.1155/2013/289526

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2013:y:2013:i:1:n:289526

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