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The voltage-current relationship and equivalent circuit implementation of parallel flux-controlled memristive circuits 
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下载免费PDF全文 A flux-controlled memristor characterized by smooth cubic nonlinearity is taken as an example, upon which the voltage-current relationships （VCRs） between two parallel memristive circuits - a parallel memristor and capacitor circuit （the parallel MC circuit）, and a parallel memristor and inductor circuit （the parallel ML circuit） - are investigated. The results indicate that the VCR between these two parallel memristive circuits is closely related to the circuit parameters, and the frequency and amplitude of the sinusoidal voltage stimulus. An equivalent circuit model of the memristor is built, upon which the circuit simulations and exper/mental measurements of both the parallel MC circuit and the parallel ML circuit are performed, and the results verify the theoretical analysis results. 相似文献
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Hau-Ming Huang Nai-Chueh Wang 《International Journal of Infrared and Millimeter Waves》1992,13(2):139-153
For the two colour (35um and 812um) sensor fusion, an optical method can replace the electric time delay and integration (TDI) circuit. During the fusion process, there exits an optimal relative gain setting between the two preamplifiers of the sensors. The optical method can provide a real time (30 frames) single enhanced dual band thermal image with an improved signal to noise ratio and better system performance. 相似文献
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动态突触、神经耦合与时间延迟对神经元发放的影响 总被引：1，自引：0，他引：1
神经元膜电位的受激发放在神经系统的信息传递中起着重要作用.基于一个受动态突触刺激的突触后神经元发放模型,采用数值模拟和傅里叶变换分析的方法研究了动态突触、神经耦合与时间延迟对突触后神经元发放的影响.结果发现:突触前神经元发放频率与Hodgkin-Huxley神经元的固有频率发生共振决定了突触后神经元发放的难易,特定频率范围内的电流刺激有利于神经元激发,动态突触输出的随机突触电流中这些电流刺激所占的比率在很大程度上影响了突触后神经元的发放次数;将突触后神经元换成神经网络后,网络中神经元之间的耦合可以促进神经元的发放,耦合中的时间延迟可以增强这种促进作用,但是不会改变神经耦合对神经元发放的促进模式. 相似文献
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Wenwu Jiang 《中国物理 B》2022,31(4):40702-040702
Spiking neural networks (SNNs) are widely used in many fields because they work closer to biological neurons. However, due to its computational complexity, many SNNs implementations are limited to computer programs. First, this paper proposes a multi-synaptic circuit (MSC) based on memristor, which realizes the multi-synapse connection between neurons and the multi-delay transmission of pulse signals. The synapse circuit participates in the calculation of the network while transmitting the pulse signal, and completes the complex calculations on the software with hardware. Secondly, a new spiking neuron circuit based on the leaky integrate-and-fire (LIF) model is designed in this paper. The amplitude and width of the pulse emitted by the spiking neuron circuit can be adjusted as required. The combination of spiking neuron circuit and MSC forms the multi-synaptic spiking neuron (MSSN). The MSSN was simulated in PSPICE and the expected result was obtained, which verified the feasibility of the circuit. Finally, a small SNN was designed based on the mathematical model of MSSN. After the SNN is trained and optimized, it obtains a good accuracy in the classification of the IRIS-dataset, which verifies the practicability of the design in the network. 相似文献
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Wenhao Yan Wenjie Dong Peng Wang Ya Wang Yanan Xing Qun Ding 《Entropy (Basel, Switzerland)》2022,24(7)
The physical implementation of the continuous-time memristor makes it widely used in chaotic circuits, whereas the discrete-time memristor has not received much attention. In this paper, the backward-Euler method is used to discretize the memristor model, and the discretized model also meets the three fingerprints characteristics of the generalized memristor. The short period phenomenon and uneven output distribution of one-dimensional chaotic systems affect their applications in some fields, so it is necessary to improve the dynamic characteristics of one-dimensional chaotic systems. In this paper, a two-dimensional discrete-time memristor model is obtained by linear coupling of the proposed memristor model and one-dimensional chaotic systems. Since the two-dimensional model has infinite fixed points, the stability of these fixed points depends on the coupling parameters and the initial state of the discrete memristor model. Furthermore, the dynamic characteristics of one-dimensional chaotic systems can be enhanced by the proposed method. Finally, we apply the generated chaotic sequence to secure communication. 相似文献
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Stability and Hopf bifurcation of a nonlinear electromechanical coupling system with time delay feedback 下载免费PDF全文
下载免费PDF全文 The stability and the Hopf bifurcation of a nonlinear electromechanical coupling system with time delay feedback are studied.By considering the energy in the air-gap field of the AC motor,the dynamical equation of the electromechanical coupling transmission system is deduced and a time delay feedback is introduced to control the dynamic behaviors of the system.The characteristic roots and the stable regions of time delay are determined by the direct method,and the relationship between the feedback gain and the length summation of stable regions is analyzed.Choosing the time delay as a bifurcation parameter,we find that the Hopf bifurcation occurs when the time delay passes through a critical value.A formula for determining the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions is given by using the normal form method and the center manifold theorem.Numerical simulations are also performed,which confirm the analytical results. 相似文献
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Zhi-Jun Li 《中国物理 B》2023,32(1):10503-010503
Considering the fact that memristors have the characteristics similar to biological synapses, a fractional-order multistable memristor is proposed in this paper. It is verified that the fractional-order memristor has multiple local active regions and multiple stable hysteresis loops, and the influence of fractional-order on its nonvolatility is also revealed. Then by considering the fractional-order memristor as an autapse of Hindmarsh-Rose (HR) neuron model, a fractional-order memristive neuron model is developed. The effects of the initial value, external excitation current, coupling strength and fractional-order on the firing behavior are discussed by time series, phase diagram, Lyapunov exponent and inter spike interval (ISI) bifurcation diagram. Three coexisting firing patterns, including irregular asymptotically periodic (A-periodic) bursting, A-periodic bursting and chaotic bursting, dependent on the memristor initial values, are observed. It is also revealed that the fractional-order can not only induce the transition of firing patterns, but also change the firing frequency of the neuron. Finally, a neuron circuit with variable fractional-order is designed to verify the numerical simulations. 相似文献
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This paper mainly investigates the exponential synchronization of an inner time-varying complex network with coupling delay. Firstly, the synchronization of complex networks is decoupled into the stability of the corresponding dynamical systems. Based on the Lyapunov function theory, some sufficient conditions to guarantee its stability with any given convergence rate are derived, thus the synchronization of the networks is achieved. Finally, the results are illustrated by a simple time-varying network model with a coupling delay. All involved numerical simulations verify the correctness of the theoretical analysis. 相似文献
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Results of the statistical analysis of the electrical breakdown time delay for neon‐filled tube at 13.3 mbar are presented in this paper. Experimental distributions of the breakdown time delay were established on the basis of 200 successive and independent measurements, for different overvoltages, relaxation times and auxiliary glows. Obtained experimental distributions deviate from usual exponential distribution. Breakdown time delay distributions are numerically generated, usingMonte‐Carlo method, as the compositions of the two independent random variables with an exponential and a Gaussian distribution. Theoretical breakdown time delay distribution is obtained from the convolution of the exponential and Gaussian distribution. Performed analysis shows that the crucial parameter that determines the complex structure of time delay is the overvoltage and if it is of the order of few percentage, then distribution of time delay must be treated as an convolution of two random variables. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim) 相似文献
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许多忆阻器都具有与生物神经突触功能相似的特性,这些特性包括记忆与遗忘特性、经验学习特性等.文献[17]根据记忆与遗忘特性建立了这类忆阻器的模型,文献[19,20]在对该模型的仿真研究中发现该模型也具有描述经验学习特性的能力.在关于这一模型已有研究的基础上,本文对该模型状态方程的特性与机理给出进一步的分析.分析中发现原模型的窗口函数的设计和使用存在问题,并且原模型建模时对于实验现象的解读不够准确.针对这些问题对原模型的状态方程进行了改进,完善了模型功能.对于该模型能够描述经验学习特性的机理,分别利用对于模型的状态方程的分析以及周期脉冲信号作用下的状态方程解析分析,对该机理给出定性和定量的讨论.利用机理分析所得的相关结论,设计了基于经验学习实验的模型状态方程中的参数和函数的估计方法,方便了该模型在这一类忆阻器的实验研究中的应用. 相似文献
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General hybrid projective complete dislocated synchronization with non-derivative and derivative coupling based on parameter identification in several chaotic and hyperchaotic systems 下载免费PDF全文
下载免费PDF全文 According to the Lyapunov stability theorem, a new general hybrid projective complete dislocated synchronization scheme with non-derivative and derivative coupling based on parameter identification is proposed under the framework of drive-response systems. Every state variable of the response system equals the summation of the hybrid drive systems in the previous hybrid synchronization. However, every state variable of the drive system equals the summation of the hybrid response systems while evolving with time in our method. Complete synchronization, hybrid dislocated synchronization, projective synchronization, non-derivative and derivative coupling, and parameter identification are included as its special item. The Lorenz chaotic system, Rssler chaotic system, memristor chaotic oscillator system, and hyperchaotic Lü system are discussed to show the effectiveness of the proposed methods. 相似文献
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忆阻器是纳米级器件, 其功耗低, 集成度高, 有着巨大的应用潜能. 单个器件具有丰富的电学性质, 其串并联电路更展现了丰富的动力学行为. 然而, 忆阻器在高密度集成的环境下, 其耦合效应不可忽视. 因此, 本文首先基于磁控忆阻器推导了耦合忆阻器的数学模型. 其次, 在考虑不同极性连接和耦合强度的前提下, 讨论两个磁控忆阻器串并联的耦合情况, 进行了详细的理论分析, 并通过数值仿真探索了耦合效应对忆阻系统的影响. 同时, 设计了基于Matlab的图形用户界面, 直观地展示了不同参数下的耦合特性曲线. 进一步, 本文展示了有无耦合情况下, 初始阻值对忆阻器正常工作范围的影响. 最后, 构建耦合忆阻器的Pspice仿真器, 从电路的角度再次验证了忆阻器间的耦合效应. 实验结果表明: 同极性耦合增强了阻值的改变, 相反极性的耦合减缓了阻值的改变. 这些动力学特性可以很好地应用于忆阻网络中, 也为全面考虑忆阻系统电路的设计提供了强大的理论基础. 相似文献
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Transition to complete synchronization via near-synchronization in two coupled chaotic neurons 下载免费PDF全文
下载免费PDF全文 The synchronization transition in two coupled chaotic Morris-Lecar （ML） neurons with gap junction is studied with the coupling strength increasing. The conditional Lyapunov exponents, along with the synchronization errors are calculated to diagnose synchronization of two coupled chaotic ML neurons. As a result, it is shown that the increase in the coupling strength leads to incoherence, then induces a transition process consisting of three different synchronization states in succession, namely, burst synchronization, near-synchronization and embedded burst synchronization, and achieves complete synchronization of two coupled neurons finally. These sequential transitions to synchronization reveal a new transition route from incoherence to complete synchronization in coupled systems with multi-time scales. 相似文献
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With CMOS technologies approaching the scaling ceiling, novel memory technologies have thrived in recent years, among which the memristor is a rather promising candidate for future resistive memory (RRAM). Memristor’s potential to store multiple bits of information as different resistance levels allows its application in multilevel cell (MCL) technology, which can significantly increase the memory capacity. However, most existing memristor models are built for binary or continuous memristance switching. In this paper, we propose the simulation program with integrated circuits emphasis (SPICE) modeling of charge-controlled and flux-controlled memristors with multilevel resistance states based on the memristance versus state map. In our model, the memristance switches abruptly between neighboring resistance states. The proposed model allows users to easily set the number of the resistance levels as parameters, and provides the predictability of resistance switching time if the input current/voltage waveform is given. The functionality of our models has been validated in HSPICE. The models can be used in multilevel RRAM modeling as well as in artificial neural network simulations. 相似文献
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We have studied a modified Frenkel-Kontorova (FK) model with alternant coupling potential. From it, we obtain a coupling conservative map, it shows that the gold-mean number is not the last broken winding number, and the broken critical value is varied with the variance of strength of spire. The phase diagram becomes asymmetric in a period. The Devil's staircase and generalized dimension are different from those of the standard FK model.PACS numbers: 64.60.Fr, 05.70.Fh, 05.70.Jk 相似文献