Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
| Author | Aouiti C. |
| Author | Cherif F. |
| Author | Touati F. |
| Available date | 2022-05-22T11:03:06Z |
| Publication Date | 2019 |
| Publication Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Resource | Scopus |
| Identifier | http://dx.doi.org/10.1007/978-3-030-30487-4_3 |
| Abstract | This paper dealt with the dissipativity problem for a class of competitive neural networks with proportional delays. Based on Lyapunov functionals approach, new sufficient conditions are derived to ensuring the strictly $$(Q,\; S^{*},\; R)-$$ dissipative of the model. The conditions are presented in terms of linear matrix inequalities (LMIs) and can be easily numerically checked by the MATLAB LMI toolbox. At last, a numerical example with simulation is given to illustrate the validity of the obtained theoretical results. |
| Language | en |
| Publisher | Springer Verlag |
| Subject | MATLAB Neural networks Robustness (control systems) Competitive neural network Dissipativity Dissipativity analysis Lyapunov functionals Matlab LMI toolbox Proportional delays Linear matrix inequalities |
| Type | Conference Paper |
| Pagination | 32-42 |
| Volume Number | 11727 LNCS |
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