scholarly journals Hopf Bifurcation of the Higher Dimensional Hénon Map

2019 ◽  
Vol 67 (1) ◽  
pp. 73-78
Author(s):  
Saiful Islam ◽  
Chandra Nath Podder

In this paper, the discrete time generalized Hénon map is considered and the existence of Hopf bifurcation via an explicit criterion for N≥3, in particular for N=4 and N=5 has given. The relation between the parameters a and b as well as the range of the values of the parameters for N=3,4,5 has driven and the existence of Hopf bifurcation is demonstrated for the values of the parameters calculated from their relations. The results of numerical simulations for different values of the parameters are also presented. Dhaka Univ. J. Sci. 67(1): 73-78, 2019 (January)

2015 ◽  
Vol 2015 ◽  
pp. 1-18
Author(s):  
Meixiang Cai

The complex dynamics of generalized Hénon map with nonconstant Jacobian determinant are investigated. The conditions of existence for fold bifurcation, flip bifurcation, and Hopf bifurcation are derived by using center manifold theorem and bifurcation theory and checked up by numerical simulations. Chaos in the sense of Marotto's definition is proved by analytical and numerical methods. The numerical simulations show the consistence with the theoretical analysis and reveal some new complex phenomena which can not be given by theoretical analysis, such as the invariant cycles which are irregular closed graphics, the six and forty-one coexisting invariant cycles, and the two, six, seven, nine, ten, and thirteen coexisting chaotic attractors, and some kinds of strange chaotic attractors.


2019 ◽  
Vol 33 (21) ◽  
pp. 1950237
Author(s):  
Wen-Jie Xie ◽  
Rui-Qi Han ◽  
Wei-Xing Zhou

It is of great significance to identify the characteristics of time series to quantify their similarity and classify different classes of time series. We define six types of triadic time-series motifs and investigate the motif occurrence profiles extracted from the time series. Based on triadic time series motif profiles, we further propose to estimate the similarity coefficients between different time series and classify these time series with high accuracy. We validate the method with time series generated from nonlinear dynamic systems (logistic map, chaotic logistic map, chaotic Henon map, chaotic Ikeda map, hyperchaotic generalized Henon map and hyperchaotic folded-tower map) and retrieved from the UCR Time Series Classification Archive. Our analysis shows that the proposed triadic time series motif analysis performs better than the classic dynamic time wrapping method in classifying time series for certain datasets investigated in this work.


2008 ◽  
Vol 17 (5) ◽  
pp. 1685-1690 ◽  
Author(s):  
Zheng Fan ◽  
Tian Xiao-Jian ◽  
Li Xue-Yan ◽  
Wu Bin

1988 ◽  
Vol 126 (7) ◽  
pp. 405-410 ◽  
Author(s):  
F.M. Izrailev ◽  
B. Timmermann ◽  
W. Timmermann

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Jie Ran ◽  
Yu-Qin Li ◽  
Shao-Juan Ma ◽  
Juan Wu

The dynamics of a discrete-time hyperchaotic system and the amplitude control of Hopf bifurcation for a stochastic discrete-time hyperchaotic system are investigated in this paper. Numerical simulations are presented to exhibit the complex dynamical behaviors in the discrete-time hyperchaotic system. Furthermore, the stochastic discrete-time hyperchaotic system with random parameters is transformed into its equivalent deterministic system with the orthogonal polynomial theory of discrete random function. In addition, the dynamical features of the discrete-time hyperchaotic system with random disturbances are obtained through its equivalent deterministic system. By using the Hopf bifurcation conditions of the deterministic discrete-time system, the specific conditions for the existence of Hopf bifurcation in the equivalent deterministic system are derived. And the amplitude control with random intensity is discussed in detail. Finally, the feasibility of the control method is demonstrated by numerical simulations.


2005 ◽  
Vol 4 (2) ◽  
pp. 407-436 ◽  
Author(s):  
V. S. Gonchenko ◽  
Yu. A. Kuznetsov ◽  
H. G. E. Meijer

Author(s):  
Octaviana Datcu ◽  
Jean-Pierre Barbot ◽  
Adriana Vlad

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Jingjing Zheng ◽  
Ziwei Wang ◽  
You Li ◽  
Jinliang Wang

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