- Title
- Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects
- Creator
- Lu, Danjie; Li, Chaojie
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59182
- Identifier
- vital:4559
- Identifier
-
https://doi.org/10.1007/s00521-012-0861-1
- Identifier
- ISSN:0941-0643
- Abstract
- In this paper, we consider the problem on exponential stability analysis of the stochastic impulsive high-order BAM neural networks with time delays. Through employing Lyapunov function method and stochastic bidirected halanay inequality, we constitute exponential stability of the stochastic impulsive high-order BAM neural networks with its estimated exponential convergence rate and feasible interval of impulsive strength. An example illustrates the main results. © 2012 Springer-Verlag London Limited.
- Relation
- Neural Computing and Applications Vol.23, no. (1), p. 1-8
- Rights
- Springer-Verlag London Limited
- Rights
- This metadata is freely available under a CCO license
- Subject
- Exponential stability; Impulsive effects; Stochastic high-order BAM neural networks; Time-varying delays
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