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Robust observer for discrete-time Markovian jumping neural networks with mixed mode-dependent delays

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Abstract

The robust observer problem is considered in this paper for a class of discrete-time neural networks with Markovian jumping parameters and mode-dependent time delays which are in both discrete-time form and finite distributed form. The neural network switches from one mode to another controlled by a Markov chain with known transition probability. Time-delays considered in this paper are mode-dependent which may reflect a more realistic version of the neural network. By using the Lyapunov functional method and the techniques of linear matrix inequalities (LMIs), sufficient conditions are established in terms of LMIs that ensure the existence of the robust observer. The obtained conditions are easy to be verified via the LMI toolbox. An example is presented to show the effectiveness of the obtained results.

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Authors and Affiliations

  1. Department of Mathematics, Southeast University, Nanjing, 210096, China

    Le Tian, Jinling Liang & Jinde Cao

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  1. Le Tian
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  2. Jinling Liang
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  3. Jinde Cao
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Correspondence to Jinling Liang.

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Tian, L., Liang, J. & Cao, J. Robust observer for discrete-time Markovian jumping neural networks with mixed mode-dependent delays. Nonlinear Dyn 67, 47–61 (2012). https://doi.org/10.1007/s11071-011-9956-y

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  • DOI: https://doi.org/10.1007/s11071-011-9956-y

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