Stability Analysis of Cohen–Grossberg Type BAM Neural Network with Piecewise Constant Argument
Discrete Dynamics in Nature and Society, 2023 This paper introduces the stability problems of Cohen–Grossberg type BAM neural network (BAMCGNN) with piecewise constant argument (PCA). By employing the homeomorphism theory, sufficient conditions for the existence and uniqueness of the equilibrium ...
Wenqing Zheng, Tao Xie, Wenxiang Fang
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New conditions for stability of multiple delayed Cohen-Grossberg Neural Networks of neutral-type. [PDF]
PLoS ONEIn this research article, we essentially aim to examine the stability properties of a certain type of Cohen-Grossberg neural network. The analysed neural network involves multiple delay parameters.
Neyir Ozcan
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Asymptotic Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays via Event-Triggered Control Scheme [PDF]
Micromachines, 2022 This paper investigates the asymptotic synchronization of memristive Cohen-Grossberg neural networks (MCGNNs) with time-varying delays under event-triggered control (ETC). First, based on the designed feedback controller, some ETC conditions are provided.
Wei Yao, Fei Yu, Jin Zhang, Ling Zhou
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On the Global Practical Exponential Stability of h-Manifolds for Impulsive Reaction–Diffusion Cohen–Grossberg Neural Networks with Time-Varying Delays [PDF]
EntropyIn this paper, we focus on h-manifolds related to impulsive reaction–diffusion Cohen–Grossberg neural networks with time-varying delays. By constructing a new Lyapunov-type function and a comparison principle, sufficient conditions that guarantee the ...
Gani Stamov +3 more
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Impulsive Fractional Cohen-Grossberg Neural Networks: Almost Periodicity Analysis
Fractal and Fractional, 2021 In this paper, a fractional-order Cohen–Grossberg-type neural network with Caputo fractional derivatives is investigated. The notion of almost periodicity is adapted to the impulsive generalization of the model.
Ivanka Stamova +3 more
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Journal of Inequalities and Applications, 2009 Based on the theory of calculus on time scales, the homeomorphism theory, Lyapunov functional method, and some analysis techniques, sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of the equilibrium ...
Yongkun Li, Yuchun Hua, Yu Fei
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Stability Analysis of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
IEEE Access, 2020 This paper deals with the problem for stability of neutral-type Cohen-Grossberg neural networks involving delay parameters. In the neutral-type neural networks, the states of the neurons involve multiple time-varying delays and time derivative of states ...
Li Wan, Qinghua Zhou
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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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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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Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network [PDF]
International Journal of Computational Intelligence Systems, 2010 In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises.
Guanjun Wang, Jinling Liang
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