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Comments on “Design of sampled data state estimator for Markovian jumping neural networks with leakage time-varying delays and discontinuous Lyapunov functional approach”

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Abstract

This paper first points out some fatal errors in the paper (Nonlinear Dyn 73:1367–1383, 2013). Then the main results of the above paper are corrected with some suitable modifications. The new feedback gain matrix is used to prove the estimation of the neuron states through numerical simulations with the same examples as discussed in the above paper.

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References

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Authors and Affiliations

  1. Department of Mathematics, Bharathiar University, Coimbatore , 641 046, Tamilnadu, India

    R. Rakkiyappan

  2. School of Mathematical Sciences and Institute of Finance and Statistics, Nanjing Normal University, Nanjing , 210023, Jiangsu, China

    Quanxin Zhu

Authors
  1. R. Rakkiyappan
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  2. Quanxin Zhu
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Corresponding author

Correspondence to Quanxin Zhu.

Additional information

The work of the first author was supported by NBHM Research Project; and Quanxin Zhu’s work was jointly supported by the National Natural Science Foundation of China (61374080), the Natural Science Foundation of Zhejiang Province (LY12F03010), and the Natural Science Foundation of Ningbo (2012A610032).

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Rakkiyappan, R., Zhu, Q. Comments on “Design of sampled data state estimator for Markovian jumping neural networks with leakage time-varying delays and discontinuous Lyapunov functional approach”. Nonlinear Dyn 77, 1069–1076 (2014). https://doi.org/10.1007/s11071-014-1326-0

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  • DOI: https://doi.org/10.1007/s11071-014-1326-0

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