1. Finite-time state estimation for delayed periodic neural networks over multiple-packet transmission.
- Author
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Li, Xiao-Meng, Chen, Yun, and Li, Jun-Yi
- Subjects
- *
ARTIFICIAL neural networks , *FINITE element method , *DATA packeting , *PACKET switching (Data transmission) , *BERNOULLI numbers , *COMPUTER networks - Abstract
In this paper, the problem of finite-time state estimation for delayed periodic neural networks over multiple-packet transmission is addressed. The components of measurement output are separately transmitted by multiple-packet transmission, and the randomly occurring packet dropouts of different channels are described by mutually independent Bernoulli processes. In order to improve the robustness of the estimator, a non-fragile estimator is designed. In addition, some sufficient criteria are given to ensure that the estimation error system is stochastically finite-time stable and stochastically finite-time bounded, and the gains of non-fragile estimator are then derived based on these results. Finally, simulation results are provided to illustrate the effectiveness of the proposed estimator design approach. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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