International Journal of Bifurcation and Chaos· 2013Q1· Derleme
Dinamik Sistemlerde Gizli Çekiciler: Hilbert–Kolmogorov, Aizerman ve Kalman Problemlerindeki Gizli Salınımlardan Chua Devrelerindeki Gizli Kaotik Çekicilere
HIDDEN ATTRACTORS IN DYNAMICAL SYSTEMS. FROM HIDDEN OSCILLATIONS IN HILBERT–KOLMOGOROV, AIZERMAN, AND KALMAN PROBLEMS TO HIDDEN CHAOTIC ATTRACTOR IN CHUA CIRCUITS
- 845atıf
- Q1SCImago
- 2013yıl
Kısa özet
Bu makale, çekim havzaları denge noktası komşuluklarıyla kesişmeyen, doğrusal olmayan dinamik sistemlerdeki gizli çekicileri incelemek için etkili analitik-sayısal yöntemleri gözden geçirmektedir.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Ana noktalar
- Gizli çekicilerin çekim havzaları, kendiliğinden uyarılmış çekicilerin aksine, denge noktası komşuluklarıyla kesişmez.
- Otomatik kontrol, sondaj sistemleri ve uçak kontrolü gibi alanlardaki problemler için çalışmaları kritiktir.
- Makale, gizli çekicilerin etkili bir şekilde yerleştirilmesi ve analizi için analitik-sayısal yöntemleri incelemektedir.
- Chua devresinde 2010'da kaotik gizli çekicilerin keşfi, bu alandaki araştırmaları önemli ölçüde ilerletmiştir.
Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.
Özet (abstract)
From a computational point of view, in nonlinear dynamical systems, attractors can be regarded as self-excited and hidden attractors. Self-excited attractors can be localized numerically by a standard computational procedure, in which after a transient process a trajectory, starting from a point of unstable manifold in a neighborhood of equilibrium, reaches a state of oscillation, therefore one can easily identify it. In contrast, for a hidden attractor, a basin of attraction does not intersect with small neighborhoods of equilibria. While classical attractors are self-excited, attractors can therefore be obtained numerically by the standard computational procedure. For localization of hidden attractors it is necessary to develop special procedures, since there are no similar transient processes leading to such attractors. At first, the problem of investigating hidden oscillations arose in the second part of Hilbert's 16th problem (1900). The first nontrivial results were obtained in Bautin's works, which were devoted to constructing nested limit cycles in quadratic systems, that showed the necessity of studying hidden oscillations for solving this problem. Later, the problem of analyzing hidden oscillations arose from engineering problems in automatic control. In the 50–60s of the last century, the investigations of widely known Markus–Yamabe's, Aizerman's, and Kalman's conjectures on absolute stability have led to the finding of hidden oscillations in automatic control systems with a unique stable stationary point. In 1961, Gubar revealed a gap in Kapranov's work on phase locked-loops (PLL) and showed the possibility of the existence of hidden oscillations in PLL. At the end of the last century, the difficulties in analyzing hidden oscillations arose in simulations of drilling systems and aircraft's control systems (anti-windup) which caused crashes. Further investigations on hidden oscillations were greatly encouraged by the present authors' discovery, in 2010 (for the first time), of chaotic hidden attractor in Chua's circuit. This survey is dedicated to efficient analytical–numerical methods for the study of hidden oscillations. Here, an attempt is made to reflect the current trends in the synthesis of analytical and numerical methods.
Yazarların özeti; kaynağından alınmıştır. International Journal of Bifurcation and Chaos, 2013 · DOI ↗
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