Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
407395 | Neurocomputing | 2016 | 6 Pages |
Abstract
In this paper, the problem on the global exponential stability of complex-valued neural networks with both leakage delay and time-varying delays on time scales is discussed. By constructing appropriate Lyapunov–Krasovskii functionals and using matrix inequality technique, a delay-dependent condition to assure the global exponential stability for the considered neural networks is established. The condition is expressed in complex-valued linear matrix inequality, which can be checked numerically using the effective YALMIP toolbox in MATLAB. An example with simulations is given to show the effectiveness of the obtained result.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qiankun Song, Zhenjiang Zhao,