Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator

Extreme multistability has frequently been reported in autonomous circuits involving memory-circuit elements, since these circuits possess line/plane equilibrium sets. However, this special phenomenon has rarely been discovered in non-autonomous circuits. Luckily, extreme multistability is found in...

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Main Authors: Bei Chen, Xinxin Cheng, Han Bao, Mo Chen, Quan Xu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/5/754
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author Bei Chen
Xinxin Cheng
Han Bao
Mo Chen
Quan Xu
author_facet Bei Chen
Xinxin Cheng
Han Bao
Mo Chen
Quan Xu
author_sort Bei Chen
collection DOAJ
description Extreme multistability has frequently been reported in autonomous circuits involving memory-circuit elements, since these circuits possess line/plane equilibrium sets. However, this special phenomenon has rarely been discovered in non-autonomous circuits. Luckily, extreme multistability is found in a simple non-autonomous memcapacitive oscillator in this paper. The oscillator only contains a memcapacitor, a linear resistor, a linear inductor, and a sinusoidal voltage source, which are connected in series. The memcapacitive system model is firstly built for further study. The equilibrium points of the memcapacitive system evolve between a no equilibrium point and a line equilibrium set with the change in time. This gives rise to the emergence of extreme multistability, but the forming mechanism is not clear. Thus, the incremental integral method is employed to reconstruct the memcapacitive system. In the newly reconstructed system, the number and stability of the equilibrium points have complex time-varying characteristics due to the presence of fold bifurcation. Furthermore, the forming mechanism of the extreme multistability is further explained. Note that the initial conditions of the original memcapacitive system are mapped onto the controlling parameters of the newly reconstructed system. This makes it possible to achieve precise control of the extreme multistability. Furthermore, an analog circuit is designed for the reconstructed system, and then PSIM circuit simulations are performed to verify the numerical results.
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spelling doaj.art-c7a464e0051f48f29f1001c2136407ca2023-11-23T23:23:08ZengMDPI AGMathematics2227-73902022-02-0110575410.3390/math10050754Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive OscillatorBei Chen0Xinxin Cheng1Han Bao2Mo Chen3Quan Xu4School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, ChinaExtreme multistability has frequently been reported in autonomous circuits involving memory-circuit elements, since these circuits possess line/plane equilibrium sets. However, this special phenomenon has rarely been discovered in non-autonomous circuits. Luckily, extreme multistability is found in a simple non-autonomous memcapacitive oscillator in this paper. The oscillator only contains a memcapacitor, a linear resistor, a linear inductor, and a sinusoidal voltage source, which are connected in series. The memcapacitive system model is firstly built for further study. The equilibrium points of the memcapacitive system evolve between a no equilibrium point and a line equilibrium set with the change in time. This gives rise to the emergence of extreme multistability, but the forming mechanism is not clear. Thus, the incremental integral method is employed to reconstruct the memcapacitive system. In the newly reconstructed system, the number and stability of the equilibrium points have complex time-varying characteristics due to the presence of fold bifurcation. Furthermore, the forming mechanism of the extreme multistability is further explained. Note that the initial conditions of the original memcapacitive system are mapped onto the controlling parameters of the newly reconstructed system. This makes it possible to achieve precise control of the extreme multistability. Furthermore, an analog circuit is designed for the reconstructed system, and then PSIM circuit simulations are performed to verify the numerical results.https://www.mdpi.com/2227-7390/10/5/754extreme multistabilityinitial conditionmemcapacitive circuitnon-autonomousreconstructed system
spellingShingle Bei Chen
Xinxin Cheng
Han Bao
Mo Chen
Quan Xu
Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
Mathematics
extreme multistability
initial condition
memcapacitive circuit
non-autonomous
reconstructed system
title Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
title_full Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
title_fullStr Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
title_full_unstemmed Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
title_short Extreme Multistability and Its Incremental Integral Reconstruction in a Non-Autonomous Memcapacitive Oscillator
title_sort extreme multistability and its incremental integral reconstruction in a non autonomous memcapacitive oscillator
topic extreme multistability
initial condition
memcapacitive circuit
non-autonomous
reconstructed system
url https://www.mdpi.com/2227-7390/10/5/754
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