Improved Stability Criteria of Static Recurrent Neural Networks with a Time-Varying Delay
This paper investigates the stability of static recurrent neural networks (SRNNs) with a time-varying delay. Based on the complete delay-decomposing approach and quadratic separation framework, a novel Lyapunov-Krasovskii functional is constructed. By employing a reciprocally convex technique to con...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988971/ |