Title :
Delay estimation in chaotic time series
Author_Institution :
Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
The problem of estimating time delay in a single scalar chaotic time series associated with delay differential equations is considered. By using the embedding techniques for reconstructing chaotic attractors, this paper proposes an approach of information entropy for infering the delay information from the chaotic time series. A sharp decrease of information entropy is utilized as a criterion of detecting the time delay. It is shown that the proposed approach is simple, practical and effective
Keywords :
chaos; delays; differential equations; entropy; time series; chaotic attractors; chaotic time series; delay differential equations; delay estimation; embedding techniques; information entropy; Chaos; Chaotic communication; Delay effects; Delay estimation; Differential equations; Electrical equipment industry; Industrial control; Information entropy; Information theory; Probability distribution;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.565379