Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
نویسندگان
چکیده
منابع مشابه
Mean square stability of periodic solution for stochastic Cohen-Grossberg-type BAM neural networks with delays
Abstract: In this paper, the mean square exponential stability of the periodic solution of stochastic CohenGrossberg-Type BAM neural networks with delays are investigated. By constructing suitable Lyapunov function, applying Itô formula, integral mean-value theorem and Poincaré mapping, we give several sufficient conditions to guarantee the mean square exponential stability of the periodic solu...
متن کاملExponential Stability of BAM Neural Networks with Delays and Impulses
In this paper, a generalized model of bi-directional associative memory (BAM) neural networks delays and impulses is investigated. By constructing suitable Lyapunov functional, Halanaly differential inequality and M -matrix theory, some sufficient conditions for global exponential stability of generalized BAM neural networks with delays and impulses are obtained. An examples are given to show t...
متن کاملMean square exponential stability of stochastic delay cellular neural networks
The dynamical behaviors of stochastic neural networks have appeared as a novel subject of research and applications, such as optimization, control, and image processing(see [1-12]). Obviously, finding stability criteria for these neural networks becomes an attractive research problem of importance. Some well results have just appeared, for example, in [1-5], for stochastic delayed Hopfield neur...
متن کاملAnalysis of global exponential stability of fuzzy BAM neural networks with delays
In this paper fuzzy bi-directional associative memory (BAM) neural networks with constant delays are considered. Some sufficient conditions for existence and global exponential stability of unique equilibrium point are established by using fixed point theorem and differential inequality techniques. The results obtained are easily checked to guarantee existence, uniqueness and global exponential...
متن کاملMean square exponential synchronization for impulsive coupled neural networks with time-varying delays and stochastic disturbances
In this article, the mean square exponential synchronization of a class of impulsive coupled neural networks with time-varying delays and stochastic disturbances is investigated. The information transmission among the systems can be directed and lagged, that is, the coupling matrices are not needed to be symmetrical and there exist interconnection delays. The dynamical behaviors of the networks...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Difference Equations
سال: 2018
ISSN: 1687-1847
DOI: 10.1186/s13662-018-1690-z