1. Novel criteria for mean square stability of stochastic delayed neural networks
- Creator:
- Sun , Yonghui and Cao, Jinde
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- Stochastic neural networks, time-varying delay, mean square exponential stability, linear matrix inequality, and Brownian motion
- Language:
- English
- Description:
- This paper investigates the mean square stability of a class of stochastic neural networks with time-varying delays. By virtue of the stochastic analysis method and linear matrix inequality (LMI) approach, a new sufficient condition is proposed where the feasibility of the conditions can be readily checked by the Matlab LMI control toolbox. Moreover, our method has the advantage of removing the restrictions on the time varying delays, so the derived results are less conservative than the previous works. A numerical example with simulations are provided to illustrate the effectiveness of the developed results.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public