Introduction of Topological Horseshoe Theory in Chaotic Research

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Over the past 10 years, nonlinear dynamics and chaotic theory attracted scholars and people got a deeper understanding of chaos. There are many methods for chaos research, and the method of using topological horseshoe is an important branch of those methods. So far, this is one of the core methods with mathematical rigor for chaos research. Based on simple thinking of geometric space, topological horseshoe build a bridge for numerical and theoretical studies of complex behavior of nonlinear systems so that people can carry out a series of studies for chaotic behavior. This paper introduces the basic content of topological horseshoe theory and the application to a simple power system.

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716-719

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jia Hong-jie, Yu Yin-xin, Wang Chen-Shan. Chaotic Phenomena in Power Systems and its Studies. Proceedings of the CSEE. 2001, 21(7).

Google Scholar

[2] Li Qing-du, Yang Xiao-song. A Simple Method for Finding Topological horseshoes. International Journal of Bifurcation and Chaos. 2010, 20(2).

DOI: 10.1142/s0218127410025545

Google Scholar

[3] E N Lorenz. Deterministic nonperiod, flow. Journal of the Atmospheric Sciences. 1963, 20.

Google Scholar

[4] Chen G R; Ueta T. International Journal of Bifurcation and Chaos. (1999).

Google Scholar

[5] Lu Jin-hu, Chen Guan-rong, Cheng Dai-zhan, Sergej Celikovsky. Bridge the gap between the Lorenz system and the Chen system. International journal of bifurcation and chaos in applied sciences and engineering. 2002, 12(12).

DOI: 10.1142/s021812740200631x

Google Scholar

[6] Liu CX, Liu T, Liu L, Liu K. A new chaotic attractor. Chaos, Solitons and Fractals. 2004, 22(5).

DOI: 10.1016/j.chaos.2004.02.060

Google Scholar

[7] Qi GY, Chen GR, Du SZ, Chen ZQ, Yuan ZZ. Analysis of a new chaotic system. Physica. A, Statistical & Theoretical Physics. 2005, 352[2-4].

Google Scholar

[8] Udaltsov V S, Goedgebuer J P, Larger L, Cuenot J B, Rhodes W T. Optics and Spectroscopy. (2003).

Google Scholar

[9] Jin-Yuan Hsieh, Chi-Chuan Hwang, An-Pei Wang, Woei-Jong LiM. Controlling hyperchaos of the Rossler systems. International Journal of Control. 1999, 72(10).

Google Scholar

[10] Song YZ. Chinese Physics. (2007).

Google Scholar

[11] Liang Song, Zhu Hong-Liang, Pan Jiao-Qing, Wang Wei. Dependence of bimodal size distribution on temperature and optical properties of InAs quantum dots grown on vicinal GaAs (100) substrates by using MOCVD. Chinese physics. 2006, 15(5).

DOI: 10.1088/1009-1963/15/5/042

Google Scholar

[12] Wiggins S. Introduction to Applicd Nonlinear Dynamical Systems and Chaos. New York: springer-verlag. (1990).

Google Scholar

[13] Morse M, G A Hedlund. Symbolic dynamics. American Journal of Mathematics. 1938, 60(4).

Google Scholar

[14] Kennedy J, Yorke J A. Topological horseshoes. Transac-tions of the American Mathematical Society. 2001, 353(6).

Google Scholar

[15] Yang X S, Tang Y. Horseshoes in piecewise continuous maps. Chaos, Solitons&Fractals. 2004, 19(4).

DOI: 10.1016/s0960-0779(03)00202-9

Google Scholar

[16] Wu  Wenjun, Meng  Fanshun, Li Jing. Co-sensitization with near-IR absorbing cyanine dye to improve photoelectric conversion of dye-sensitized solar cells. Synthetic Metals. 2009, 159(11).

DOI: 10.1016/j.synthmet.2009.01.023

Google Scholar

[17] Li Qing-du, Yang Xiao-song. Progresses on Chaotic Dynamics Study with Topological horseshoes. Journal of Dynamics and Control. 2012, 10(4).

Google Scholar