Quadratic Lyapunov functions for stability of the generalized proportional fractional differential equations with applications to neural networks
A fractional model of the Hopfield neural network is considered in the case of the application of the generalized proportional Caputo fractional derivative. The stability analysis of this model is used to show the reliability of the processed information. An equilibrium is defined, which is generall...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10773/32687 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/32687 |