DocumentCode :
2669763
Title :
Review of dynamical complexity research based on topological horseshoe theory
Author :
Quan, Yuan ; Xiaosong, Yang
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
544
Lastpage :
547
Abstract :
Now, the research of dynamical complexity has become very popular, especially the analysis of the chaos. The chaotic character is obtained mainly by calculated Lyapunov exponents; however it is probably bad in some situations, so people want to have more rigorous arguments on existence of chaos. This paper reviews the topological horseshoe theory first, and then offered a rigorous chaotic analysis by means of topological horseshoe theory, at last, show the research papers on this topic.
Keywords :
Lyapunov methods; chaos; nonlinear control systems; topology; Lyapunov exponents; chaos analysis; dynamical complexity research; rigorous chaotic analysis; topological horseshoe theory; Bifurcation; Cellular neural networks; Chaos; Computer networks; Differential equations; Fractals; Hopfield neural networks; Mathematics; Multidimensional systems; Solitons; Chaos; Summary; Topological horseshoe;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605720
Filename :
4605720
Link To Document :
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