2017
DOI: 10.1016/j.ifacol.2017.08.470
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Hidden attractors localization in Chua circuit via the describing function method

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Cited by 21 publications
(19 citation statements)
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“…Note that the existence of hidden attractors in the Chua system can be effectively predicted by the describing function method (DFM) Rocha & Medrano-T, 2015;Kuznetsov et al, 2017a]. The classical DFM (see, e.g.…”
Section: Separated Twin-attractorsmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that the existence of hidden attractors in the Chua system can be effectively predicted by the describing function method (DFM) Rocha & Medrano-T, 2015;Kuznetsov et al, 2017a]. The classical DFM (see, e.g.…”
Section: Separated Twin-attractorsmentioning
confidence: 99%
“…Theorem Leonov & Kuznetsov, 2013;Kuznetsov et al, 2017a] Consider the describing function Φ(a) = 2π/ω 0 0 ψ(a cos(ω 0 t)) cos(ω 0 t)dt. If there exists a positive a 0 such that Φ(a 0 ) = 0, b 1 Φ (a 0 ) < 0, then system (9) has a stable 5 periodic solution with the initial data w 0 = a 0 + O(ε), 0, O(ε) and period T = 2π ω 0 + O(ε).…”
Section: Separated Twin-attractorsmentioning
confidence: 99%
“…Also, global stability in the presence of locally unstable equilibria is a typical case for systems describing pendulums, PLLs [11,21,46,69], and electric machines [64]. 4 See, e.g., Andronov-Hopf bifurcation [2,5] and Bautin's "safe" and "dangerous" boundaries of stability [9], and corresponding birth of hidden Chua attractors [43,101]. model has a global bounded convex absorbing set, then over time, the state of the system, observed experimentally, will be attracted to the local attractor contained in the absorbing set.…”
Section: Introductionmentioning
confidence: 99%
“…Notice that the chaotic systems mentioned above present quadratic nonlinearities. However, there are a few systems in the literature that generate hidden attractors from switching linear systems [37,38]. In these researches, the main methodology is to find hidden degeneracies in piecewise smooth dynamical systems through the sliding mode methods, and they use of efficient analytical-numerical methods for the study of hidden attractors.…”
Section: Introductionmentioning
confidence: 99%