Almost sure exponential stability of delayed cellular neural networks
| dc.contributor.author | Huang, Chuangxia (  0000-0002-0732-226X ) | |
| dc.contributor.author | He, Yigang ( ) | |
| dc.contributor.author | Huang, Lihong ( ) | |
| dc.date.accessioned | 2021-08-05T14:59:53Z | |
| dc.date.available | 2021-08-05T14:59:53Z | |
| dc.date.issued | 2007-03-15 | |
| dc.identifier.citation | Huang, C., He, Y., & Huang, L. (2007). Almost sure exponential stability of delayed cellular neural networks. Electronic Journal of Differential Equations, 2007(44), pp. 1-6. | en_US |
| dc.identifier.issn | 1072-6691 | |
| dc.identifier.uri | https://digital.library.txstate.edu/handle/10877/14205 | |
| dc.description.abstract | The stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure exponential stability of the DCNN. | en_US |
| dc.format | Text | |
| dc.format.extent | 6 pages | |
| dc.format.medium | 1 file (.pdf) | |
| dc.language.iso | en | en_US |
| dc.publisher | Texas State University-San Marcos, Department of Mathematics | en_US |
| dc.source | Electronic Journal of Differential Equations, 2007, San Marcos, Texas: Texas State University-San Marcos and University of North Texas. | |
| dc.subject | Stochastic | en_US |
| dc.subject | Cellular neural networks | en_US |
| dc.subject | Almost sure exponential stability | en_US |
| dc.subject | Lyapunov functional | en_US |
| dc.title | Almost sure exponential stability of delayed cellular neural networks | en_US |
| dc.type | publishedVersion | |
| txstate.documenttype | Article | |
| dc.rights.license |  This work is licensed under a Creative Commons Attribution 4.0 International License. | |
| dc.description.department | Mathematics |
