检索结果-南通市图书馆

Chinese Physics B 2024年第5期33卷 722-735页

作者： Charles Omotomide Apata 唐浥瑞周祎凡蒋龙裴启明 School of Physics and Optoelectronic Engineering Yangtze UniversityJingzhou 434023China

The FitzHugh–Nagumo neuron circuit integrates a piezoelectric ceramic to form a piezoelectric sensing neuron,which can capture external sound signals and simulate the auditory neuron system.Two piezoelectric sensing neurons are coupled by a parallel circuit consisting of a Josephson junction and a linear resistor,and a binaural auditory system is established.Considering the non-singleness of external sound sources,the high–low frequency signal is used as the input signal to study the firing mode transition and Synchronization of this system.It is found that the angular frequency of the high–low frequency signal is a key factor in determining whether the dynamic behaviors of two coupled neurons are synchronous.When they are in Synchronization at a specific angular frequency,the changes in physical parameters of the input signal and the coupling strength between them will not destroy their Synchronization.In addition,the firing mode of two coupled auditory neurons in Synchronization is affected by the characteristic parameters of the high–low frequency signal rather than the coupling strength.The asynchronous dynamic behavior and variations in firing modes will harm the auditory system.These findings could help determine the causes of hearing loss and devise functional assistive devices for patients.

关键词： piezoelectric ceramic Josephson junction auditory neuron Synchronization

Dynamics and Synchronization of neural models with memristive membranes under energy coupling

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2024年第5期33卷 316-322页

作者：万婧玥吴富强马军汪文帅 School of Mathematics and Statistics Ningxia UniversityYinchuan 750021China Ningxia Basic Science Research Center of Mathematics Ningxia UniversityYinchuan 750021China Department of Physics Lanzhou University of TechnologyLanzhou 730050China

Dynamical modeling of neural systems plays an important role in explaining and predicting some features of biophysical mechanisms.The electrophysiological environment inside and outside of the nerve cell is different.Due to the continuous and periodical properties of electromagnetic fields in the cell during its operation,electronic components involving two capacitors and a memristor are effective in mimicking these physical features.In this paper,a neural circuit is reconstructed by two capacitors connected by a memristor with periodical mem-conductance.It is found that the memristive neural circuit can present abundant firing patterns without stimulus.The Hamilton energy function is deduced using the Helmholtz theorem.Further,a neuronal network consisting of memristive neurons is proposed by introducing energy coupling.The controllability and flexibility of parameters give the model the ability to describe the dynamics and Synchronization behavior of the system.

关键词： memristor neuronal model energy Synchronization

LMI Based Synchronization Control of Nonlinear Affine Fractional Order Chaotic Systems Considering Input Constraint

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science and Systems Engineering 2023年第6期32卷 643-655页

作者： Ali Soleimanizadeh Mohammad Ali Nekoui Mahdi Aliyari Shoorehdeli Department of Electrical Engineering Islamic Azad University South Tehran BranchTehranIran Department of Electrical Engineering K N Toosi University of TechnologyTehranIran

The current paper deals with Synchronization problem among chaotic nonlinear fractional order systems considering input saturation constraint.To develop the idea,at first a generalized sector condition and a memory-less nonlinear function are employed to deal with the saturation problem.Then a new state feedback controller is designed to achieve Synchronization in master-slave chaotic fractional order nonlinear systems with input saturation.Using the state feedback controller,the asymptotic stability of whole dynamic error model between master and slave is achieved.The stability of the closed-loop system is guaranteed using Lyapunov theory and sufficient stability conditions are formulated in terms of caputo fractional derivative of a quadratic Lyapunov function and Linear Matrix Inequalities(LMI).Finally,to verify the effectiveness of the proposed control scheme,some simulation results are employed to show the effectiveness of the proposed methodology.

关键词： Input Affine system chaos systems input saturation nonlinear fractional order feedback controller Synchronization

Dynamics and Synchronization in a memristor-coupled discrete heterogeneous neuron network considering noise

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2024年第2期33卷 537-544页

作者：晏询李志军李春来 School of Automation and Electronic Information Xiangtan UniversityXiangtan 411105China School of Computer Science&School of Cyberspace Science Xiangtan UniversityXiangtan 411105China

Research on discrete memristor-based neural networks has received much attention.However,current research mainly focuses on memristor–based discrete homogeneous neuron networks,while memristor-coupled discrete heterogeneous neuron networks are rarely reported.In this study,a new four-stable discrete locally active memristor is proposed and its nonvolatile and locally active properties are verified by its power-off plot and DC V–I diagram.Based on two-dimensional(2D)discrete Izhikevich neuron and 2D discrete Chialvo neuron,a heterogeneous discrete neuron network is constructed by using the proposed discrete memristor as a coupling synapse connecting the two heterogeneous neurons.Considering the coupling strength as the control parameter,chaotic firing,periodic firing,and hyperchaotic firing patterns are revealed.In particular,multiple coexisting firing patterns are observed,which are induced by different initial values of the memristor.Phase Synchronization between the two heterogeneous neurons is discussed and it is found that they can achieve perfect synchronous at large coupling strength.Furthermore,the effect of Gaussian white noise on Synchronization behaviors is also explored.We demonstrate that the presence of noise not only leads to the transition of firing patterns,but also achieves the phase Synchronization between two heterogeneous neurons under low coupling strength.

关键词： heterogeneous neuron network discrete memristor coexisting attractors Synchronization noise

Synchronization of second-order Kuramoto networks from the perspective of edge dynamics

在线全文

学校读者我要写书评

暂无评论

Control Theory and Technology 2023年第4期21卷 580-590页

作者： Liang Wu Jiuming Zhong Haoyong Chen School of Physics and Electronic Engineering Hainan Normal UniversityHaikou571158HainanChina School of Electric Power South China University of TechnologyGuangzhou510640GuangdongChina

This paper presents new Synchronization conditions for second-order phase-coupled Kuramoto oscillators in terms of edge dynamics.Two types of network-underlying graphs are studied,the positively weighted and signed graphs,respectively.We apply an edge Laplacian matrix for a positively weighted network to represent the edge connections.The properties of the edge Laplacian matrix are analyzed and incorporated into the proposed conditions.These conditions take account of the dynamics of edge-connected oscillators instead of all oscillator pairs in conventional studies.For a network with positive and negative weights,we represent the network by its spanning tree dynamics,and derive conditions to evaluate the Synchronization state of this network.These conditions show that if all edge weights in the spanning tree are positive,and the tree-induced dynamics are in a dominant position over the negative edge dynamics,then this network achieves Synchronization.The theoretical findings are validated by numerical examples.

关键词： Kuramoto oscillator Signed graph Synchronization Edge Laplacian matrix Spanning tree

Synchronization transition of a modular neural network containing subnetworks of different scales

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Information Technology & Electronic Engineering 2023年第10期24卷 1458-1470页

作者： Weifang HUANG Lijian YANG Xuan ZHAN Ziying FU Ya JIA College of Physics Science and Technology Central China Normal UniversityWuhan 430079China School of Life Sciences Central China Normal UniversityWuhan 430079China

Time delay and coupling strength are important factors that affect the Synchronization of neural networks.In this study,a modular neural network containing subnetworks of different scales was constructed using the Hodgkin–Huxley(HH)neural model;i.e.,a small-scale random network was unidirectionally connected to a large-scale small-world network through chemical synapses.Time delays were found to induce multiple Synchronization transitions in the network.An increase in coupling strength also promoted Synchronization of the network when the time delay was an integer multiple of the firing period of a single neuron.Considering that time delays at different locations in a modular network may have different effects,we explored the influence of time delays within each subnetwork and between two subnetworks on the Synchronization of modular networks.We found that when the subnetworks were well synchronized internally,an increase in the time delay within both subnetworks induced multiple Synchronization transitions of their own.In addition,the Synchronization state of the small-scale network affected the Synchronization of the large-scale network.It was surprising to find that an increase in the time delay between the two subnetworks caused the Synchronization factor of the modular network to vary periodically,but it had essentially no effect on the Synchronization within the receiving subnetwork.By analyzing the phase difference between the two subnetworks,we found that the mechanism of the periodic variation of the Synchronization factor of the modular network was the periodic variation of the phase difference.Finally,the generality of the results was demonstrated by investigating modular networks at different scales.

关键词： Hodgkin-Huxley neuron Modular neural network Subnetwork Synchronization Transmission delay

Synchronization Stability of Interconnected Microgrids with Fully Inverter-based Distributed Energy Resources

在线全文

学校读者我要写书评

暂无评论

现代电力系统与清洁能源学报(英文) 2023年第4期11卷 1257-1268页

作者： Mobin Naderi Qobad Shafiee Frede Blaabjerg Hassan Bevrani Smart/Micro Grids Research Center(SMGRC) University of KurdistanSanandajIran Department of Energy Technology Aalborg UniversityAalborgDenmark

In this paper,the Synchronization stability challenges of same-rated frequency interconnected microgrids(IMGs)with fully inverter-based generation units are studied.In this type of weak power grid with low X/R ratios and low line impedances,no strong source with a high-inertia rating exists with which other generation units can be synchronized.Two IMGs controlled using a pinning consensus-based control architecture are considered.The inrush power flow at the beginning of the interconnection process is modeled and analyzed.This power flow is affected by the voltage/phase/frequency difference of the IMG points of common coupling.A small-signal model of the IMGs is obtained that includes a Synchronization control unit,and small-signal stability is analyzed based on sensitivity analysis of the most important control and operational parameters.In addition,the transient stability of a nonlinear model of the IMGs under study as implemented in Sim Power Systems/MATLAB is investigated.Stable Synchronization is more challenging than the Synchronization of multi-area strong power grids and grid-connected MGs.However,Synchronization can still be performed by selecting more limited ranges for the control gains and threshold values of the Synchronization algorithm.Nevertheless,different disturbances such as high load conditions can cause Synchronization instability.

关键词： Inrush power interconnected microgrid Synchronization small-signal stability transient stability

Pinning Synchronization of Coupled Oscillators with Paired Topologies

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2022年第5期35卷 1653-1667页

作者： ZHANG Miaosen LU Yuezu WANG Qishao WEN Guanghui LIU Guohua XU Wenying Chien-Shiung Wu College of SEU Southeast UniversityNanjing 211189China School of Mathematics Southeast UniversityNanjing 211189China Department of Dynamics and Control Beihang UniversityBeijing 100871China

This paper investigates the pinning Synchronization of a group of coupled oscillators,where both the dissipative and restorative interactions are taken into consideration.The paired coupling topologies are introduced to capture this feature of the dynamics.To realize the Synchronization of the coupled oscillators,the pinning control is introduced,and two pinning criteria are proposed to ensure the Synchronization.Both these two proposed criteria provide sufficient and necessary conditions for pinning Synchronization of the coupled oscillators with paired topologies.Simulation examples are illustrated to verify the proposed theoretical results.

关键词： Paired coupling topologies pinning control Synchronization

Synchronization and Stability of a Nonlinear Vibrating Mechanical System Characterized by Asymmetrical Piecewise Linearity

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2022年第6期35卷 298-311页

作者： Xueliang Zhang Zhenmin Li Wenchao Hu Bangchun Wen School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero‑Propulsion Systems Ministry of Education of China Northeastern UniversityShenyang 110819China

In previous studies about the Synchronization of vibrators,the restoring forces of springs are mainly treated as linear directly,whereas the nonlinear features are rarely considered in vibrating systems.To make up this drawback,a dynamical model of a nonlinear vibrating mechanical system with double rigid frames(RFs),driven by two vibrators,is proposed to explore the Synchronization and stability of the system.In this paper,the nonlinearity is reflected in nonlinear restoring forces of springs characterized by asymmetrical piecewise linear,where the nonlinear stiffness of springs is linearized equivalently using the asymptotic method.Based on the average method and Hamilton’s principle,the theory conditions to achieve Synchronization and stability of two vibrators are deduced.After the theory analyses,some numerical qualitative analyses are given to reveal the coupling dynamical characteristics of the system and the relative motion properties between two RFs.Besides,some experiments are carried out to examine the validity of the theoretical results and the correctness of the numerical analyses results.Based on the comparisons of the theory,numeric and experiment,the ideal working regions of the system are suggested.Based on the present work,some new types of vibrating equipment,such as vibrating discharging centrifugal dehydrators/conveyers/screens,can be designed.

关键词： Synchronization Stability Nonlinear vibrating system Vibrators Asymmetrical piecewise linearity

Mutual Synchronization of eyeblinks between dogs/cats and humans

在线全文

学校读者我要写书评

暂无评论

Current Zoology 2022年第2期68卷 229-232页

作者： Hikari KOYASU Risa GOTO Saho TAKAGI Miho NAGASAWA Tamami NAKANO Takefumi KIKUSUI Laboratory of Human-Animal Interaction and Reciprocity Azabu University1-17-71 FuchinobeChuo-kuSagamihara-shiKanagawa252-5201Japan Japan Society for the Promotion of Science 5-3-1 KojimachiChiyoda-kuTokyo102-0083Japan Graduate School of Frontiers and Biosciences Osaka University1-3 YamadaokaSuitaOsaka565-0871Japan

In humans Homo sapiens,eyeblinks play an important role in communication.Blinks are synchronized between 2 individuals during conversation,with shared breaks between contexts,suggesting that blink Synchronization can ... 详细信息

关键词： blink cat communication dog Synchronization