2019
DOI: 10.1088/1742-6596/1179/1/012084
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A New 4-D Chaotic System with Self-Excited Two-Wing Attractor, its Dynamical Analysis and Circuit Realization

Abstract: A new four-dimensional chaotic system with only two quadratic nonlinearities is proposed in this paper. It is interesting that the new chaotic system exhibits a two-wing strange attractor. The dynamical properties of the new chaotic system are described in terms of phase portraits, equilibrium points, Lyapunov exponents, Kaplan-Yorke dimension, dissipativity, etc. The new chaotic system has two saddle-foci, unstable equilibrium points. Thus, the new chaotic system exhibits self-excited attractor. Also, a detai… Show more

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Cited by 3 publications
(4 citation statements)
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“…In this section, a disturbance observer is developed to estimate the exterior perturbations affecting the chaotic systems (6) and (7). To this end, define the synchronization error between the master and slave systems as follows:…”
Section: B Design Of a Disturbance Observer-based Semi-glogally Robumentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, a disturbance observer is developed to estimate the exterior perturbations affecting the chaotic systems (6) and (7). To this end, define the synchronization error between the master and slave systems as follows:…”
Section: B Design Of a Disturbance Observer-based Semi-glogally Robumentioning
confidence: 99%
“…In many applications, the chaotic behavior is undesirable because of the fact that even small disturbances may cause the states to diverge exponentially. Therefore, the chaos phenomenon should be avoided or completely suppressed in practice [6][7][8][9]. In the past two decades, chaos synchronization has generated important interests in applied fields such as secure communication [10,11], electronic circuits [12], optical chaotic communication [13], chaotic CO2 lasers [14], chaotic finance system [15], a periodically intermittent control [16], partial discharge in power cables [17], cryptosystems [18] and image encryption [19].…”
Section: Introductionmentioning
confidence: 99%
“…The chaotic attractors can be classified as self-excited attractors and hidden attractors. The self-excited attractors [23][24][25] can be detected using the unstable equilibrium points while the hidden attractors can be observed in the no equilibrium system [26][27][28]. Many systems have been designed with no equilibrium [29,30], stable equilibrium [31][32][33], line and curve of equilibrium [34][35][36], non-hyperbolic equilibrium [37][38][39] and infinitely many equilibria [40,41].…”
Section: Introductionmentioning
confidence: 99%
“…Now, consider the Lyapunov stability function as given in Eq. (24), V = e 1 ė1 + e 2 ė2 + e 3 ė3 + e a ėa + e b ėb + e c ėc(24)…”
mentioning
confidence: 99%