Journal
NEURAL PROCESSING LETTERS
Volume 32, Issue 1, Pages 45-57Publisher
SPRINGER
DOI: 10.1007/s11063-010-9144-y
Keywords
Fuzzy cellular neural networks; Reaction-diffusion; Stochastic; Exponential stability; Lyapunov functional
Categories
Funding
- National Natural Science Foundation of China [10671209]
- Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry
Ask authors/readers for more resources
In this paper, a class of stochastic fuzzy cellular neural networks with time-varying delays and reaction-diffusion terms is investigated. By using Lyapunov-Krasovskii functional and stochastic analysis approaches, new and less conservative delay-derivative-dependent stability criteria are presented to guarantee the neural networks to be globally exponentially stable in the mean square for all admissible stochastic perturbations. Numerical simulations are carried out to illustrate the main results.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available