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Stability analysis of Cohen–Grossberg neural networks of neutral-type: Multiple delays case
Neural Networks, 2019The essential purpose of this work is to conduct an investigation into stability problem for the class of neutral-type Cohen-Grossberg neural networks including multiple time delays in states and multiple neutral delays in time derivative of states.
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New conditions for global stability of neutral-type delayed Cohen–Grossberg neural networks
Neural Networks, 2018This paper carries out a theoretical investigation of the class of neutral-type delayed Cohen-Grossberg neural networks by using the Lyapunov stability theory. By employing a suitable Lyapunov functional candidate, we derive some new delay independent sufficient conditions for the global asymptotic stability of the equilibrium point for the neutral ...
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Neural Processing Letters, 2017
This paper is concerned with the problem of asymptotic stability of neutral type Cohen–Grossberg BAM neural networks with discrete and distributed time-varying delays. By constructing a suitable Lyapunov–Krasovskii functional (LKF), reciprocal convex technique and Jensen’s inequality are used to delay-dependent conditions are established to analysis ...
M. Syed Ali +6 more
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This paper is concerned with the problem of asymptotic stability of neutral type Cohen–Grossberg BAM neural networks with discrete and distributed time-varying delays. By constructing a suitable Lyapunov–Krasovskii functional (LKF), reciprocal convex technique and Jensen’s inequality are used to delay-dependent conditions are established to analysis ...
M. Syed Ali +6 more
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Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xin Wang +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xin Wang +3 more
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Neural Networks, 2020
The essential objective of this research article is to investigate stability issue of neutral-type Cohen-Grossberg neural networks involving multiple time delays in states of neurons and multiple neutral delays in time derivatives of states of neurons in the network.
Ozlem Faydasicok
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The essential objective of this research article is to investigate stability issue of neutral-type Cohen-Grossberg neural networks involving multiple time delays in states of neurons and multiple neutral delays in time derivatives of states of neurons in the network.
Ozlem Faydasicok
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An Analysis of Stability of Multiple Delayed Cohen-Grossberg Neural Networks of Neutral Type
2022 7th International Conference on Mathematics and Computers in Sciences and Industry (MCSI), 2022This research paper presents new results on global asymptotic stability of a larger class of delayed Cohen-Grossberg neural systems involving multiple time delays and multiple neutral delays including continuous Lipschitz activation functions by utilising a modified novel type Lyapunov functional.
Faydasicok O., Arik S.
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International Journal of Control, 2020
In this paper, we aim to investigate the globally asymptotic stability of the equilibrium point for the discontinuous Cohen–Grossberg neural networks of neutral-type in Hale's form.
Fanchao Kong, Quanxin Zhu
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In this paper, we aim to investigate the globally asymptotic stability of the equilibrium point for the discontinuous Cohen–Grossberg neural networks of neutral-type in Hale's form.
Fanchao Kong, Quanxin Zhu
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International Journal of Computer Mathematics, 2012
This paper studies the existence, uniqueness and globally robust exponential stability for a class of uncertain neutral-type Cohen–Grossberg neural networks with time-varying and unbounded distributed delays. Based on Lyapunov–Krasovskii functional, by involving a free-weighting matrix, using the homeomorphism mapping principle, Cauchy–Schwarz ...
Cheng-De Zheng +2 more
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This paper studies the existence, uniqueness and globally robust exponential stability for a class of uncertain neutral-type Cohen–Grossberg neural networks with time-varying and unbounded distributed delays. Based on Lyapunov–Krasovskii functional, by involving a free-weighting matrix, using the homeomorphism mapping principle, Cauchy–Schwarz ...
Cheng-De Zheng +2 more
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Computational Intelligence, 2019
AbstractThis article presents a class of neutral‐type Cohen‐Grossberg neural networks with discontinuous activations and mixed time delays. Based on the functional differential inclusions theory, inequality technique, and nonsmooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness,
Fanchao Kong, Quanxin Zhu
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AbstractThis article presents a class of neutral‐type Cohen‐Grossberg neural networks with discontinuous activations and mixed time delays. Based on the functional differential inclusions theory, inequality technique, and nonsmooth analysis theory with Lyapunovlike approach, some new sufficient criteria are given to ascertain the existence, uniqueness,
Fanchao Kong, Quanxin Zhu
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