A scaling exponent-based detector of chaos in oscillatory circuits

被引:2
作者
Djurovic, Igor [1 ]
Rubezic, Vesna [1 ]
Sejdic, Ervin [2 ]
机构
[1] Univ Montenegro, Dept Elect Engn, Podgorica, Montenegro
[2] Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA USA
关键词
Chaos detection; Scaling exponent; Detrended fluctuation analysis; Peak intervals time series; RECURRENCE TIME STATISTICS; LYAPUNOV EXPONENTS; SYSTEMS; QUANTIFICATION; ATTRACTOR; TUTORIAL; SERIES; SIGNAL; PLOTS; NOISE;
D O I
10.1016/j.physd.2012.09.003
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a scaling exponent based approach is proposed to determine the state of chaotic circuits, and the scaling exponent is calculated using detrended fluctuation analysis (DFA). The corresponding detector is designed using the fact that the scaling exponent changes for various states of chaotic circuits. Simulation examples in this paper are performed for Chua's circuit and other chaotic systems and compared with the state-of-the-art in the field. The proposed detector outperforms existing techniques in ability to distinguish the chaotic and periodic states in the circuits for relatively high noise. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:67 / 73
页数:7
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