Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6866445 | Neurocomputing | 2014 | 6 Pages |
Abstract
In this paper, we investigate the global exponential stability of fuzzy cellular neural networks with time-varying delays in the leakage terms and reaction-diffusion terms. By constructing a novel Lyapunov functional and applying inequality technique, we obtain some new sufficient conditions for the existence, uniqueness and global exponential stability of the equilibrium solution. Moreover, an numerical example is provided to demonstrate the feasibility of our method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ke Jing,