scholarly journals Bubbling route to strange nonchaotic attractor in a nonlinear seriesLCRcircuit with a nonsinusoidal force

2008 ◽  
Vol 78 (6) ◽  
Author(s):  
D. V. Senthilkumar ◽  
K. Srinivasan ◽  
K. Thamilmaran ◽  
M. Lakshmanan
1995 ◽  
Vol 51 (3) ◽  
pp. R1629-R1632 ◽  
Author(s):  
Sergey P. Kuznetsov ◽  
Arkady S. Pikovsky ◽  
Ulrike Feudel

Author(s):  
Luis Alberto Quezada-Téllez ◽  
Salvador Carrillo-Moreno ◽  
Oscar Rosas-Jaimes ◽  
José Job Flores-Godoy ◽  
Guillermo Fernández-Anaya

AbstractIn this article, extended complex Lü models (ECLMs) are proposed. They are obtained by substituting the real variables of the classical Lü model by complex variables. These projections, spanning from five dimensions (5D) and six dimensions (6D), are studied in their dynamics, which include phase spaces, calculations of eigenvalues and Lyapunov’s exponents, Poincaré maps, bifurcation diagrams, and related analyses. It is shown that in the case of a 5D extension, we have obtained chaotic trajectories; meanwhile the 6D extension shows quasiperiodic and hyperchaotic behaviors and it exhibits strange nonchaotic attractor (SNA) features.


2001 ◽  
Vol 24 (5) ◽  
pp. 822-823
Author(s):  
Arnold J. Mandell ◽  
Karen A. Selz

Studies have failed to yield definitive evidence for the existence and/or role of well-defined chaotic attractors in real brain systems. Tsuda's transients stabilized on unstable manifolds of unstable fixed points using mechanisms similar to Ott's algorithmic “control of chaos” are demonstrable. Grebogi's order in preserving “strange nonchaotic” attractor with fractal dimension but Lyapounov is suggested for neural network tasks dependent on sequence.


1997 ◽  
Vol 55 (3) ◽  
pp. 3769-3772 ◽  
Author(s):  
W. X. Ding ◽  
H. Deutsch ◽  
A. Dinklage ◽  
C. Wilke

2008 ◽  
Vol 18 (12) ◽  
pp. 3657-3663
Author(s):  
E. DEL RIO ◽  
J. M. DONOSO

We present a case of a strange nonchaotic attractor (SNA) which is also nonfractal and continuous. This provides a counterexample to the widely extended assumption about the intrinsic fractal nature of any SNA. We also show that the most useful techniques to characterize the SNA fail for this case.


2009 ◽  
Vol 206 ◽  
pp. 23-39 ◽  
Author(s):  
Lluís Alsedà ◽  
Sara Costa

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