Global robust dissipativity of integro-differential systems modelling neural networks with time delay
| dc.contributor.author | Cui, Baotong | |
| dc.contributor.author | Lou, Xuyang | |
| dc.date.accessioned | 2021-08-11T21:01:21Z | |
| dc.date.available | 2021-08-11T21:01:21Z | |
| dc.date.issued | 2007-06-15 | |
| dc.description.abstract | In this paper, the global robust dissipativity of integro-differential systems modeling neural networks with time delay is studied. Several sufficient conditions are derived to ensure the global robust dissipativity of the neural networks proposed by using proper Lyapunov functionals and some analytic techniques. The results are shown to improve the previous global dissipativity results derived in the literature. Some examples are given to illustrate the correctness of our results. | |
| dc.description.department | Mathematics | |
| dc.format | Text | |
| dc.format.extent | 12 pages | |
| dc.format.medium | 1 file (.pdf) | |
| dc.identifier.citation | Cui, B., & Lou, X. (2007). Global robust dissipativity of integro-differential systems modelling neural networks with time delay. <i>Electronic Journal of Differential Equations, 2007</i>(89), pp. 1-12. | |
| dc.identifier.issn | 1072-6691 | |
| dc.identifier.uri | https://hdl.handle.net/10877/14284 | |
| dc.language.iso | en | |
| dc.publisher | Texas State University-San Marcos, Department of Mathematics | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Electronic Journal of Differential Equations, 2007, San Marcos, Texas: Texas State University-San Marcos and University of North Texas. | |
| dc.subject | Neural network | |
| dc.subject | Integro-differential system | |
| dc.subject | Global dissipativity | |
| dc.subject | Lyapunov functional | |
| dc.title | Global robust dissipativity of integro-differential systems modelling neural networks with time delay | |
| dc.type | Article |