Results 61 to 70 of about 438 (172)
In this paper, by using a continuation theorem of coincidence degree theory and a differential inequality, we establish some sufficient conditions ensuring the existence and global exponential stability of anti-periodic solutions for a class of fuzzy ...
Yongkun Li, Li Yang, Wanqin Wu
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The stability for the switched Cohen-Grossberg neural networks with mixed time delays and α-inverse Hölder activation functions is investigated under the switching rule with the average dwell time property.
Huaiqin Wu +5 more
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Stability Analysis of Cohen–Grossberg Neural Networks with Random Impulses
The Cohen and Grossberg neural networks model is studied in the case when the neurons are subject to a certain impulsive state displacement at random exponentially-distributed moments.
Ravi Agarwal +3 more
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Novel Criteria of ISS Analysis for Delayed Memristive Simplified Cohen–Grossberg BAM Neural Networks
The memristor as the fourth circuit element, it can capture some key aspects of biological synaptic plasticity. So, it is significant that the characteristic of memristors is considered in neural networks. This paper investigates input-to-state stability
Yong Zhao, Shanshan Ren
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This paper presents the exponential synchronization for a class of memristive Cohen-Grossberg neural networks (MCGNNs) with mixed delays via a new hybrid control strategy.
Meng Hui +5 more
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Robust stability of delayed fuzzy Cohen–Grossberg neural networks
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays [PDF]
In this paper, the Cohen-Grossberg neural networks with distributed delays are considered without assuming any symmetry of connection matrix and differentiability of the activation functions. By constructing a novel Lyapunov functional, new sufficient criteria for the existence of a unique equilibrium and global exponential stability of the network are
Weirui Zhao, Huanshui Zhang
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Convergence of Cohen-Grossberg neural networks with delays and time-varying coefficients
In this paper presents sufficient conditions for all solutions of the Cohen-Grossberg neural networks with delays and time-varying coefficients to converge exponentially to zero.
Jianying Shao, Qiyuan Zhou
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Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks
This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method.
Xianxiu Zhang +2 more
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Asymptotic Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays via Event-Triggered Control Scheme. [PDF]
Yao W, Yu F, Zhang J, Zhou L.
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