2022
DOI: 10.1109/tcsii.2021.3122892
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Identification of Phase-Locked Loop System From Its Experimental Time Series

Abstract: Phase-locked loops (PLLs) are now widely used in communication systems and have been a classic system for more than 60 years. Well-known mathematical models of such systems are constructed in a number of approximations, so questions about how they describe the experimental dynamics qualitatively and quantitatively, and how the accuracy of the model description depends on the behavior mode, remain open. One of the most direct approaches to the verification of any model is its reconstruction from the time series… Show more

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Cited by 4 publications
(2 citation statements)
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“…Various methods were developed to reduce the impact of such noise (including power line noise) in signals (e.g., see [ 24 , 25 ]). In the context of inferring parameters of a dynamical system from noisy observation, it was recently shown that using approaches based on numerical integration (instead of the differentiation) can improve parameter estimation task [ 26 , 27 ]. Although the recorded PSC might be contaminated by measurement noise, one advantage of the steady-state estimate, in the dual optimization approach, is that the steady-state PSC in response to DBS pulses can be inferred from the average (over time) of recorded PSC, making our approach reasonably robust to the measurement noise.…”
Section: Resultsmentioning
confidence: 99%
“…Various methods were developed to reduce the impact of such noise (including power line noise) in signals (e.g., see [ 24 , 25 ]). In the context of inferring parameters of a dynamical system from noisy observation, it was recently shown that using approaches based on numerical integration (instead of the differentiation) can improve parameter estimation task [ 26 , 27 ]. Although the recorded PSC might be contaminated by measurement noise, one advantage of the steady-state estimate, in the dual optimization approach, is that the steady-state PSC in response to DBS pulses can be inferred from the average (over time) of recorded PSC, making our approach reasonably robust to the measurement noise.…”
Section: Resultsmentioning
confidence: 99%
“…Hardware implementation [10] of the considered neuron like generator in the form of an electronic device demonstrated the possibility of reproducing the same dynamic modes as in the mathematical model (1) [11]. System (1) is invariant with respect to the transformation (γ, ϕ, y, z )−(−γ,−ϕ,−y,−z ), so all the observed dynamic modes obtained under the condition γ > 0, are also observed under γ < 0, but in " inverted" form.…”
mentioning
confidence: 99%