A weak condition for global stability of delayed neural networks
The classical analysis of asymptotical and exponential stability of neural networks needs assumptions on the existence of a positive Lyapunov function V and on the strict negativity of the function dV=dt, which often come as a result of boundedness or uniformly almost periodicity of the activation f...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
American Institute of Mathematical Sciences (A I M S Press)
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/40445 |