The Experts below are selected from a list of 70275 Experts worldwide ranked by ideXlab platform
Zhenyuan Guo - One of the best experts on this subject based on the ideXlab platform.
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global exponential synchronization of multiple coupled inertial memristive neural networks with time varying delay via nonlinear Coupling
Neural Networks, 2018Co-Authors: Zhenyuan Guo, Shaofu Yang, Shuqing Gong, Tingwen HuangAbstract:Abstract In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel Coupling Scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this Coupling Scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results.
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global exponential synchronization of multiple memristive neural networks with time delay via nonlinear Coupling
IEEE Transactions on Neural Networks, 2015Co-Authors: Zhenyuan Guo, Shaofu Yang, Jun WangAbstract:This paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel Coupling Scheme is introduced, in a general topological structure described by a directed or undirected graph, with a linear diffusive term and discontinuous sign term. Several criteria are derived based on the Lyapunov stability theory to ascertain the global exponential stability of synchronization manifold in the Coupling Scheme. Simulation results for several examples are given to substantiate the effectiveness of the theoretical results.
H W Zhao - One of the best experts on this subject based on the ideXlab platform.
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a new microwave Coupling Scheme for high intensity highly charged ion beam production by high power 24 28 ghz secral ion source
Review of Scientific Instruments, 2020Co-Authors: W W Lu, Wei Zhang, Y C Feng, Z Shen, Lin Li, Jianjun Li, X Z Zhang, D Hitz, H W ZhaoAbstract:The efficiency of the microwave-plasma Coupling is a key issue to enhance the performance of electron cyclotron resonance ion sources (ECRISs) in terms of higher ion beam intensity yield. The Coupling properties are affected by the microwave Coupling Scheme, especially for the high frequency (f > 20 GHz) and high power (P > 5 kW) ECR ion sources. Based on the study of 24 GHz SECRAL ion source performances working at different launching systems, a new microwave Coupling Scheme, called the Vlasov launcher, is proposed, which can not only realize efficient power matching and feeding but also enhance the microwave power distribution on the ECR surface. The first promising results are presented in this article. Then, a prototype dedicated to the next generation ECRIS is described.The efficiency of the microwave-plasma Coupling is a key issue to enhance the performance of electron cyclotron resonance ion sources (ECRISs) in terms of higher ion beam intensity yield. The Coupling properties are affected by the microwave Coupling Scheme, especially for the high frequency (f > 20 GHz) and high power (P > 5 kW) ECR ion sources. Based on the study of 24 GHz SECRAL ion source performances working at different launching systems, a new microwave Coupling Scheme, called the Vlasov launcher, is proposed, which can not only realize efficient power matching and feeding but also enhance the microwave power distribution on the ECR surface. The first promising results are presented in this article. Then, a prototype dedicated to the next generation ECRIS is described.
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a new microwave Coupling Scheme for high intensity highly charged ion beam production by high power 24 28 ghz secral ion source
Review of Scientific Instruments, 2020Co-Authors: J W Guo, Wei Zhang, Y C Feng, Z Shen, X Z Zhang, D Hitz, L T Sun, H W ZhaoAbstract:The efficiency of the microwave-plasma Coupling is a key issue to enhance the performance of electron cyclotron resonance ion sources (ECRISs) in terms of higher ion beam intensity yield. The Coupling properties are affected by the microwave Coupling Scheme, especially for the high frequency (f > 20 GHz) and high power (P > 5 kW) ECR ion sources. Based on the study of 24 GHz SECRAL ion source performances working at different launching systems, a new microwave Coupling Scheme, called the Vlasov launcher, is proposed, which can not only realize efficient power matching and feeding but also enhance the microwave power distribution on the ECR surface. The first promising results are presented in this article. Then, a prototype dedicated to the next generation ECRIS is described.
Shaofu Yang - One of the best experts on this subject based on the ideXlab platform.
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global exponential synchronization of multiple coupled inertial memristive neural networks with time varying delay via nonlinear Coupling
Neural Networks, 2018Co-Authors: Zhenyuan Guo, Shaofu Yang, Shuqing Gong, Tingwen HuangAbstract:Abstract In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel Coupling Scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this Coupling Scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results.
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global exponential synchronization of multiple memristive neural networks with time delay via nonlinear Coupling
IEEE Transactions on Neural Networks, 2015Co-Authors: Zhenyuan Guo, Shaofu Yang, Jun WangAbstract:This paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel Coupling Scheme is introduced, in a general topological structure described by a directed or undirected graph, with a linear diffusive term and discontinuous sign term. Several criteria are derived based on the Lyapunov stability theory to ascertain the global exponential stability of synchronization manifold in the Coupling Scheme. Simulation results for several examples are given to substantiate the effectiveness of the theoretical results.
Jun Wang - One of the best experts on this subject based on the ideXlab platform.
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global exponential synchronization of multiple memristive neural networks with time delay via nonlinear Coupling
IEEE Transactions on Neural Networks, 2015Co-Authors: Zhenyuan Guo, Shaofu Yang, Jun WangAbstract:This paper presents theoretical results on the global exponential synchronization of multiple memristive neural networks with time delays. A novel Coupling Scheme is introduced, in a general topological structure described by a directed or undirected graph, with a linear diffusive term and discontinuous sign term. Several criteria are derived based on the Lyapunov stability theory to ascertain the global exponential stability of synchronization manifold in the Coupling Scheme. Simulation results for several examples are given to substantiate the effectiveness of the theoretical results.
Tingwen Huang - One of the best experts on this subject based on the ideXlab platform.
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global exponential synchronization of multiple coupled inertial memristive neural networks with time varying delay via nonlinear Coupling
Neural Networks, 2018Co-Authors: Zhenyuan Guo, Shaofu Yang, Shuqing Gong, Tingwen HuangAbstract:Abstract In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel Coupling Scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this Coupling Scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results.
