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Robust stability criteria for uncertain stochastic neural networks of neutral-type with interval time-varying delays |
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| Authors: | Guoquan Liu Simon X Yang Yi Chai Wei Feng Wei Fu |
| Affiliation: | 1. College of Automation, Chongqing University, Chongqing, 400044, P. R. China 2. School of Engineering, University of Guelph, Guelph, ON, N1G2W1, Canada 3. Department of Computer Science, Chongqing Education College, Chongqing, 400067, China |
| Abstract: | This paper deals with the robust stability problem of uncertain stochastic neural networks of neutral-type with interval time-varying delays. The uncertainties under consideration are norm-bounded, and the delay is assumed to be time-varying and belongs to a given interval. By using the Lyapunov-Krasovskill functional method and the linear matrix inequality (LMI) technique, the novel stability criteria are derived in terms of LMI. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed criteria. |
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