2014 18th International Conference on System Theory, Control and Computing (ICSTCC) 2014
DOI: 10.1109/icstcc.2014.6982465
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Characterizing the attractors of chaotic systems by a direct measurement method

Abstract: Due to the high sensitivity to internal parameters, the operation of the chaotic systems may couple strongly to the ambient and are apt to detect small variations of external factors that influence the internal ones. We present details of a method and related equipment for analyzing and characterizing the behavior of chaotic systems, suited for assessing changes in the dynamics. The method essentially consists in determining the probability that the trajectory of the chaotic system is located in a specified re… Show more

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Cited by 2 publications
(5 citation statements)
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“…Next, we calculated the time average V 1 (t) . This average is a duty cycle factor used to characterize continuous changes in the chaotic attractor with variations in the target signal [16]. The obtained results are presented in Figure 3.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, we calculated the time average V 1 (t) . This average is a duty cycle factor used to characterize continuous changes in the chaotic attractor with variations in the target signal [16]. The obtained results are presented in Figure 3.…”
Section: Resultsmentioning
confidence: 99%
“…The attractor of a nonlinear system can consist of parts concentrated in different regions of the phase space, with fast transitions in the dynamic trajectory between these parts. A bistable sensor based on these chaotic dynamics requires neither an external driving signal (as in fluxgate magnetometers [14]) nor noise (as in noise-activated sensors [15]) for its functioning [16]. Its output can be quantified by the spike count rate [17], with spikes defined by times of dynamic trajectory crossings between attractors.…”
Section: Introductionmentioning
confidence: 99%
“…Several photoresistors were used [25,29] in the feedback circuit to measure light, see Fig. 11, [30][31][32]. Figure 11.…”
Section: Artificial Retinasmentioning
confidence: 99%
“…The feedback circuit of Sprott's chaotic system with photoresistors, as used in [25,29]. From [30][31][32].…”
Section: Artificial Retinasmentioning
confidence: 99%
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