A three-port switch NMR laser chaotic system with memristor and its circuit implementation

Wang, Jieyang; Mou, Jun; Yan, Hao; Liu, Xingce; Ma, Yussanne; Cao, Yinghong

doi:10.1140/epjp/s13360-021-02097-1

Cited by 4 publications

(2 citation statements)

References 49 publications

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“…In 1960, physicist Maiman invented the first operational ruby laser. [1] Compared with the traditional chaotic systems, laser chaotic systems usually have larger bandwidth, lower attenuation, more complex dynamical behaviors, and greater sensitivity to parameter variations, [2,3] so they can be widely used in high-speed remote confidential communications. [4,5] Since the advent of artificial intelligence, much attention has been paid to neuroprosthetics, which aims to develop electronic devices implanted in the brain to repair missing or malfunctioning brain functions due to trauma or diseases.…”

Section: Introductionmentioning

confidence: 99%

Dynamical analysis, geometric control and digital hardware implementation of a complex-valued laser system with a locally active memristor

Liu

et al. 2023

Chinese Phys. B

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In order to make the peak and offset of the signal meet the requirements of artificial equipment, dynamical analysis and geometric control of laser system has become indispensable. In this paper, a locally active memristor with non-volatile memory is introduced into a complex-valued Lorenz laser system. By using numerical measures, complex dynamical behaviors of the memristive laser system are uncovered. It appears the alternating appearance of quasi-periodic and chaotic oscillations. The mechanism of transformation from a quasi-periodic pattern to a chaotic pattern is revealed from the perspective of Hamilton energy. Interestingly, initial-values-oriented extreme multi-stability patterns are found, where the coexisting attractors have the same Lyapunov exponents. In addition, the introduction of a memristor greatly improves the complexity of the laser system. Moreover, to control the amplitude and offset of the chaotic signal, two kinds of geometric control methods including amplitude control and rotation control are designed. The results show that these two geometric control methods have revised the size and position of the chaotic signal without changing the chaotic dynamics. Finally, a digital hardware device is developed and the experiment outputs agree fairly well with those of the numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Dynamical analysis, geometric control and digital hardware implementation of a complex-valued laser system with a locally active memristor

Liu

et al. 2023

Chinese Phys. B

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“…In fact, researchers have used alternative techniques to design memristor devices based on mathematical models. Analog circuit implementation of memristors is important, and there are many different implementations [ 20 , 21 , 22 , 23 ]. Meanwhile, FPGA implementation has aroused much interest among researchers due to its easily programmable, reconfigurable, controllable, precise and better performance [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Discrete Memristor and Discrete Memristive Systems

He,

Zhan,

Wang

et al. 2022

Entropy

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In this paper, we investigate the mathematical models of discrete memristors based on Caputo fractional difference and G–L fractional difference. Specifically, the integer-order discrete memristor is a special model of those two cases. The “∞”-type hysteresis loop curves are observed when input is the bipolar periodic signal. Meanwhile, numerical analysis results show that the area of hysteresis decreases with the increase of frequency of input signal and the decrease of derivative order. Moreover, the memory effect, characteristics and physical realization of the discrete memristors are discussed, and a discrete memristor with short memory effects is designed. Furthermore, discrete memristive systems are designed by introducing the fractional-order discrete memristor and integer-order discrete memristor to the Sine map. Chaos is found in the systems, and complexity of the systems is controlled by the parameter of the memristor. Finally, FPGA digital circuit implementation is carried out for the integer-order and fractional-order discrete memristor and discrete memristive systems, which shows the potential application value of the discrete memristor in the engineering application field.

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Memristor-Based Apple Feature Recall Network Circuit Application with Emotional Influence

Sun

Yang

Wang

et al. 2022

Journal of Nanoelectronics and Optoelectronics

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In this paper, a memristor-based recall circuit with emotional influence is presented. The circuit includes emotion module, neuron circuit and output module. Positive emotion and negative emotion are generated through the emotion modules. The recall process for an apple’s weight, shape, and texture features is influenced by emotion. The neuron circuits mainly include weight neuron, shape neuron, and texture neuron. The recall process of apple features corresponds to the learning and forgetting processes in associative memory. After learning apple features, when there is positive emotion involved, the forgetting rate of apple features will be slower. When negative emotion is involved, the forgetting rate will be faster. The results of this circuit are verified in PSPICE. The conclusions presented in this paper provide a certain reference for the realization of memristors in neural network hardware circuits.

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A three-port switch NMR laser chaotic system with memristor and its circuit implementation

Cited by 4 publications

References 49 publications

Dynamical analysis, geometric control and digital hardware implementation of a complex-valued laser system with a locally active memristor

Dynamical analysis, geometric control and digital hardware implementation of a complex-valued laser system with a locally active memristor

Discrete Memristor and Discrete Memristive Systems

Memristor-Based Apple Feature Recall Network Circuit Application with Emotional Influence

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