Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks

Chuangxia Huang, Jie Cao, Peng Wang
2016 Discrete Dynamics in Nature and Society  
We address the problem of stochastic attractor and boundedness of a class of switched Cohen-Grossberg neural networks (CGNN) with discrete and infinitely distributed delays. With the help of stochastic analysis technology, the Lyapunov-Krasovskii functional method, linear matrix inequalities technique (LMI), and the average dwell time approach (ADT), some novel sufficient conditions regarding the issues of mean-square uniformly ultimate boundedness, the existence of a stochastic attractor, and
more » ... he mean-square exponential stability for the switched Cohen-Grossberg neural networks are established. Finally, illustrative examples and their simulations are provided to illustrate the effectiveness of the proposed results.
doi:10.1155/2016/4958217 fatcat:cjvy26kb35eazd7mm3s6p2y3s4