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, 1-9

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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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:289526

DOI: 10.1155/2013/289526

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