Results 121 to 130 of about 711 (141)
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Neural Networks, 2012
In this paper, we first discuss the existence of a unique equilibrium point of a generalized Cohen-Grossberg BAM neural networks of neutral type delays by means of the Homeomorphism theory and inequality technique. Then, by applying the existence result of an equilibrium point and constructing a Lyapunov functional, we study the global asymptotic ...
Zhengqiu Zhang +2 more
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In this paper, we first discuss the existence of a unique equilibrium point of a generalized Cohen-Grossberg BAM neural networks of neutral type delays by means of the Homeomorphism theory and inequality technique. Then, by applying the existence result of an equilibrium point and constructing a Lyapunov functional, we study the global asymptotic ...
Zhengqiu Zhang +2 more
exaly +4 more sources
2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020 In this study, global stability analysis is carried out for neutral-type Cohen-Grossberg neural systems with discrete time delays in state of neurons and discrete neutral delays in the time derivative of states of neurons. A proper Lyapunov functional is utilized to derive a novel sufficient condition for global asymptotic stability of this class of ...
FAYDASIÇOK, Özlem
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Neurocomputing, 2021
Abstract For a class of neutral-type Cohen–Grossberg neural networks with multiple discrete and neutral delays, the existence and uniqueness of equilibrium point are derived by the homeomorphism mapping theory between topology spaces. By proposing a direct parameterized approach that is based on a parameterized estimation of solutions, it is the ...
Xian Zhang, Xin Wang
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Abstract For a class of neutral-type Cohen–Grossberg neural networks with multiple discrete and neutral delays, the existence and uniqueness of equilibrium point are derived by the homeomorphism mapping theory between topology spaces. By proposing a direct parameterized approach that is based on a parameterized estimation of solutions, it is the ...
Xian Zhang, Xin Wang
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Robust stability criteria for Takagi–Sugeno fuzzy Cohen–Grossberg neural networks of neutral type
Neurocomputing, 2014The aim of this paper is to analyze the robust stability problem of Takagi-Sugeno fuzzy Cohen-Grossberg neural networks of neutral type. By constructing a Lyapunov-Krasovskii functional, which contains some triple and quadruple integral terms, and using a vector Wirtinger-type inequality approach, a delay dependent criterion is obtained to guarantee ...
S Muralisankar
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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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Mathematics and Computers in Simulation, 2015
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Jigui Jian, Baoxian Wang
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jigui Jian, Baoxian Wang
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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, Zhanshan Wang
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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, Zhanshan Wang
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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, Jinde Cao, Ahmed Alsaedi
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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, Jinde Cao, Ahmed Alsaedi
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Optik, 2015
Abstract In this paper, a class of stochastic Cohen–Grossberg neural networks (SCGNNS) with continuous distributed delays of neutral type is considered. Firstly, some conditions are derived to ensure the existence and uniqueness of the almost periodic solution by means of contraction mapping principle and inequality techniques.
Xianyun Xu
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Abstract In this paper, a class of stochastic Cohen–Grossberg neural networks (SCGNNS) with continuous distributed delays of neutral type is considered. Firstly, some conditions are derived to ensure the existence and uniqueness of the almost periodic solution by means of contraction mapping principle and inequality techniques.
Xianyun Xu
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Information Sciences
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Xiaona Yang, Xian Zhang
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Xiaona Yang, Xian Zhang
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