Results 31 to 40 of about 438 (172)
Nonlinear Analysis, 2017 In this paper, stochastic fuzzy Cohen–Grossberg neural networks with discrete and distributed delays are investigated. By using Lyapunov function and the Ito differential formula, some sufficient conditions for the pth moment exponential stability of ...
Changjin Xu, Peiluan Li
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Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays
Abstract and Applied Analysis, 2013 This paper aims at studying the problem of the dynamics of switched Cohen-Grossberg neural networks with mixed delays by using Lyapunov functional method, average dwell time (ADT) method, and linear matrix inequalities (LMIs) technique.
Peng Wang +4 more
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IEEE Access, 2020 Cohen-Grossberg neural networks with delays provide a very powerful tool in the study of information processing, parallel computation, pattern recognition and solving of optimization problems.
Jinde Cao +4 more
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Dynamics of Cohen‐Grossberg Neural Networks with Mixed Delays and Impulses [PDF]
Abstract and Applied Analysis, 2008 Impulsive Cohen‐Grossberg neural networks with bounded and unbounded delays (i.e., mixed delays) are investigated. By using the Leray‐Schauder fixed point theorem, differential inequality techniques, and constructing suitable Lyapunov functional, several new sufficient conditions on the existence and global exponential stability of periodic solution ...
Yang, Xinsong +3 more
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Discrete Dynamics in Nature and Society, 2010 This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations.
Chuangxia Huang, Lehua Huang, Yigang He
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Advances in Difference Equations, 2017 This paper is concerned with the Mittag-Leffler stability of fractional-order fuzzy Cohen-Grossberg neural networks with deviating argument. Applying the Lyapunov method, the generalized Gronwall-Bellman inequality, and the theory of fractional-order ...
Liguang Wan, Ailong Wu
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Asymptotical Mean Square Stability of Cohen-Grossberg Neural Networks with Random Delay
Journal of Inequalities and Applications, 2010 The asymptotical mean-square stability analysis problem is considered for a class of Cohen-Grossberg neural networks (CGNNs) with random delay. The evolution of the delay is modeled by a continuous-time homogeneous Markov process with a finite number of ...
Enwen Zhu, Hanjun Zhang, Jiezhong Zou
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Journal of Applied Mathematics, 2008 A class of fuzzy Cohen-Grossberg neural networks with distributed delay and variable coefficients is discussed. It is neither employing coincidence degree theory nor constructing Lyapunov functionals, instead, by applying matrix theory and inequality ...
Hongjun Xiang, Jinde Cao
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Discrete Dynamics in Nature and Society, 2013 A general class of Cohen-Grossberg neural networks with time-varying delays, distributed delays, and discontinuous activation functions is investigated.
Yanke Du, Yanlu Li, Rui Xu
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Impulsive control of a class of multiple unstable neural networks
Journal of Inequalities and Applications, 2021 This paper addresses the issue of stability of a class of multiple unstable Cohen–Grossberg neural networks(CGNNs) under impulsive control. Some novel sufficient conditions are given to make the unstable equilibrium points of the model locally μ-stable ...
Songfang Jia, Yanheng Chen
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