2018
DOI: 10.1007/s00034-018-0750-7
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Hyperchaotic Memcapacitor Oscillator with Infinite Equilibria and Coexisting Attractors

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Cited by 51 publications
(11 citation statements)
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“…When infinitely many attractors coexist for the same set of system parameters, multistability is referred to as extreme multistability [ 25 ]. The previously published literature have reported that the dynamical stability of memristive systems are heavily dependent on the initial conditions, which easily leads the system to generate multistability or even extreme multistability [ 26 , 27 , 28 , 29 ].…”
Section: Memcapacitor-based Chaotic Oscillator and Its Dynamicsmentioning
confidence: 99%
“…When infinitely many attractors coexist for the same set of system parameters, multistability is referred to as extreme multistability [ 25 ]. The previously published literature have reported that the dynamical stability of memristive systems are heavily dependent on the initial conditions, which easily leads the system to generate multistability or even extreme multistability [ 26 , 27 , 28 , 29 ].…”
Section: Memcapacitor-based Chaotic Oscillator and Its Dynamicsmentioning
confidence: 99%
“…bifurcations which are induced without varying the system parameters [Fiedler et al, 2000;Corinto & Forti, 2017]. More recently, FCAM has been extended to much broader classes of circuits containing more than one memristor [Corinto & Forti, 2018;Chen et al, 2020] as well as memcapacitors and meminductors [Corinto et al, 2019;Rajagopal et al, 2018;Yuan et al, 2016a;Yuan et al, 2016b]. Also in this case, it is shown that the original circuit can be equivalently described by a family of state space reduced-order systems indexed by a number of constant parameters, usually equal to the number of ideal memelements.…”
Section: Introductionmentioning
confidence: 99%
“…Several contributions make it clear that circuits containing memelements are able to display a rich variety of multistability phenomena [Li et al, 2014;Scarabello & Messias, 2014;Messias et al, 2010;Bao et al, 2016;Yuan et al, 2016a;Yuan et al, 2016b;Xu et al, 2017;Rajagopal et al, 2018;Varshney et al, 2018;Corinto et al, 2019;Yuan et al, 2019;Wang et al, 2019;Chang et al, 2019;Chen et al, 2020;Zhang et al, 2019]. To this respect, it is worth noting that multistability control is a field of general growing interest (see, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, multistability [20][21][22][23][24][25] and extreme multistability [26][27][28][29][30][31][32] have become research hotspots in the field of chaotic systems. Multistability means that when the system parameters remain unchanged, the system can generate more than one attractor with different initial values.…”
Section: Introductionmentioning
confidence: 99%