Multistability and coexisting attractors in a non-autonomous memristive Jerk circuit: numerical simulations and hardware measurements

Xu, Quan; Cheng, Sheng; Ding, Shoukui; Chen, Bei; Wu, Huagan

doi:10.1140/epjs/s11734-022-00557-y

Cited by 4 publications

(2 citation statements)

References 51 publications

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“…Xu et al [9] investigated multistability in a nonautonomous memristive jerk circuit in which the memristor had quadratic memductance and an externally applied stimulus. Then, multistability near the imperfect bifurcations was investigated by means of a local attraction basin and phase portraits, where four representative sets of system parameters were considered.…”

Section: Multistability and Hidden Dynamicsmentioning

confidence: 99%

“…Additionally, the tools for memristor models should be diversified, such as fractional-order derivative, fractional-order difference, analog circuit, and digital circuits. Therefore, memristor-based studies are collected in this volume, including neural systems [1][2][3], multistability and hidden dynamics [4][5][6][7][8][9][10], synchronization controller [11,12], circuits [13][14][15][16][17][18], discrete memristor chaotic maps [19][20][21][22][23], and image encryption applications [24,25]. Some of the contributions discuss several aspects.…”

Section: Introductionmentioning

confidence: 99%

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Novel memristor and memristor-based applications

Wang

Banerjee

et al. 2022

Eur. Phys. J. Spec. Top.

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This special issue presents 25 papers regarding memristor systems and their applications. Part of the manuscripts are about memristor-based neural systems, and the systems show rich dynamics. Multistability in memristive systems has aroused much interest, and nonlinear behaviors, such as hidden attractors, extreme multistability, and transient chaotic transition, are observed. There are also two works investigating controllers of fractional-order memristor chaotic systems and several for circuit implementation of memristor chaotic systems. As new research, discrete memristor chaotic maps are reported and show potential application value in the future. Finally, there are two papers about the application of memristive chaotic systems to image encryption fields, indicating that memristive chaotic systems can be used in the information security field.

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Section: Multistability and Hidden Dynamicsmentioning

confidence: 99%