基于运算放大器的Memcapacitor仿真器及其应用

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shalini, Kunwar Singh, Shireesh Kumar Rai
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引用次数: 0

摘要

本文提出了三种基于运算放大器的memcapacitor仿真器。前两种配置使用两个运算放大器,三个忆阻器,一个电阻和一个电容器。第三种配置需要两个运算放大器,一个电容,一个忆阻器和三个电阻来实现。所提出电路的关键创新在于集成了一个忆阻器,它引入了非线性和记忆能力,使其成为模拟记忆电容行为的理想选择。与大多数现有设计相比,所提出的电路结构简化,同时在高达6 kHz的频率范围内实现可靠的性能。LTspice工具已被用于执行所有模拟。利用非易失性图评估了系统的记忆保留特性,并通过蒙特卡罗仿真验证了系统的鲁棒性。利用忆阻器的SPICE模型和忆阻器仿真电路验证了所提出的仿真器。实验结果验证了关键指纹,即采用市售的AD711集成电路的缩紧滞回线。此外,演示了三种应用-神经尖峰生成,自适应学习电路和混沌振荡器,突出了仿真器在神经形态计算和自适应系统中的多功能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operational Amplifier-Based Memcapacitor Emulators and Their Applications

This work proposes three configurations of memcapacitor emulators based on operational amplifiers. The first two configurations utilize two operational amplifiers, three memristors, one resistor, and one capacitor. The third configuration requires two operational amplifiers, one capacitor, one memristor, and three resistors for its realization. The key innovation of the proposed circuits lies in integrating a memristor, which introduces non-linearity and memory capabilities, making it ideal for emulating memcapacitive behavior. The proposed circuits demonstrate simplified structures compared to most existing designs while achieving reliable performance across a frequency range of up to 6 kHz. The LTspice tool has been utilized to perform all simulations. The pinched hysteresis loops are plotted to validate the memcapacitive behavior, the memory-retaining property is evaluated using a non-volatile plot, and robustness is verified by performing the Monte Carlo simulations. The proposed emulators are validated utilizing both the SPICE model of the memristor and a memristor emulator circuit. Experimental results have been included to validate the key fingerprint, that is, pinched hysteresis loop of the circuit using commercially available AD711 ICs. Additionally, three applications—neural spike generation, adaptive learning circuit, and chaotic oscillator—are demonstrated, highlighting the emulator's versatility in neuromorphic computing and adaptive systems.

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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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