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Stability analysis for delayed Cohen–Grossberg Clifford‐valued neutral‐type neural networks
Mathematical Methods in the Applied Sciences, 2022The aim of this study is to explore the global stability of Cohen–Grossberg Clifford‐valued neutral‐type neural network models with time delays. In order to achieve the aim of this paper, and to solve the non‐commutativity problem caused by Clifford numbers multiplication, the original Clifford‐valued system is first decomposed into ‐dimensional real ...
Ramalingam Sriraman +3 more
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Neural Networks, 2022
The major target of this research article is to conduct a new Lyapunov stability analysis of a special model of Cohen-Grossberg neural networks that include multiple delay terms in state variables of systems neurons and multiple delay terms in time derivatives of state variables of systems neurons in the network structure.
Ozlem Faydasicok, Sabri Arik
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The major target of this research article is to conduct a new Lyapunov stability analysis of a special model of Cohen-Grossberg neural networks that include multiple delay terms in state variables of systems neurons and multiple delay terms in time derivatives of state variables of systems neurons in the network structure.
Ozlem Faydasicok, Sabri Arik
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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 ...
Zhang, Zhengqiu +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 ...
Zhang, Zhengqiu +2 more
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Stability analysis of two-dimensional neutral-type Cohen–Grossberg BAM neural networks
Neural Computing and Applications, 2015Two-dimensional system model represents a wide range of practical systems, such as image data processing and transmission, thermal processes, gas absorption and water stream heating. Moreover, there are few dynamical discussions for the two-dimensional neutral-type Cohen–Grossberg BAM neural networks. Hence, in this paper, our purpose is to investigate
Wenjun Xiong, Yunbo Shi, Jinde Cao
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Neural Networks, 2020
The significant contribution of this paper is the addressing the stability issue of neutral-type Cohen-Grossberg neural networks possessing multiple time delays in the states of the neurons and multiple neutral delays in time derivative of states of the neurons.
Ozlem Faydasicok
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The significant contribution of this paper is the addressing the stability issue of neutral-type Cohen-Grossberg neural networks possessing multiple time delays in the states of the neurons and multiple neutral delays in time derivative of states of the neurons.
Ozlem Faydasicok
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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, Yantao Wang, 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, Yantao Wang, 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, N. Gopalakrishnan
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Mathematics and Computers in Simulation, 2015
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Jian, Jigui, Wang, Baoxian
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian, Jigui, Wang, Baoxian
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