| contributor author | Stamova, Ivanka M. | |
| contributor author | Simeonov, Stanislav | |
| date accessioned | 2019-02-28T11:12:05Z | |
| date available | 2019-02-28T11:12:05Z | |
| date copyright | 11/17/2017 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_013_01_011015.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4253763 | |
| description abstract | This research introduces a model of a delayed reaction–diffusion fractional neural network with time-varying delays. The Mittag–Leffler-type stability of the solutions is investigated, and new sufficient conditions are established by the use of the fractional Lyapunov method. Mittag–Leffler-type synchronization criteria are also derived. Three illustrative examples are established to exhibit the proposed sufficient conditions. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Delayed Reaction–Diffusion Cellular Neural Networks of Fractional Order: Mittag–Leffler Stability and Synchronization | |
| type | Journal Paper | |
| journal volume | 13 | |
| journal issue | 1 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4038290 | |
| journal fristpage | 11015 | |
| journal lastpage | 011015-7 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 001 | |
| contenttype | Fulltext | |
