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Finite-time sampled-data synchronization for uncertain neutral-type semi-Markovian jump neural networks with mixed time-varying delays

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  • Wang, Yao
  • Guo, Jun
  • Liu, Guobao
  • Lu, Junwei
  • Li, Fangyuan

Abstract

This paper addresses the finite-time synchronization problem for neutral-type semi-Markovian jump neural networks subject to random occurred uncertainties by sampled-data control approach. In order to deal with the influence of leakage delay and additive time delays on neutral-type neural networks, an appropriate Lyapunov–Krasovskii functional is employed. Some sufficient conditions are presented to guarantee the stochastic finite-time synchronization of the master system and slave system with an L2−L∞ performance level. In terms of linear matrix inequalities, the sampled-data controller gains are obtained. Two numerical examples are provided to demonstrate the effectiveness of our proposed method.

Suggested Citation

  • Wang, Yao & Guo, Jun & Liu, Guobao & Lu, Junwei & Li, Fangyuan, 2021. "Finite-time sampled-data synchronization for uncertain neutral-type semi-Markovian jump neural networks with mixed time-varying delays," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    • Handle: RePEc:eee:apmaco:v:403:y:2021:i:c:s0096300321002873
    DOI: 10.1016/j.amc.2021.126197
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    References listed on IDEAS

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    Cited by:

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    4. Nguyen, Khanh Hieu & Kim, Sung Hyun, 2022. "Improved sampled-data control design of T-S fuzzy systems against mismatched fuzzy-basis functions," Applied Mathematics and Computation, Elsevier, vol. 428(C).

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