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pro vyhledávání: '"Aguirre, Luis A."'
The detection of phase synchronization of coupled chaotic oscillators which are not phase-coherent is known to be a challenging task. In this work a method to detect and measure phase synchronization is presented. The procedure uses symbol sequence s
Externí odkaz:
http://arxiv.org/abs/2311.05073
Publikováno v:
Proc. Natl. Acad. Sci. U.S.A. 119, e2113750119 (2022)
The quantitative understanding and precise control of complex dynamical systems can only be achieved by observing their internal states via measurement and/or estimation. In large-scale dynamical networks, it is often difficult or physically impossib
Externí odkaz:
http://arxiv.org/abs/2201.07256
Autor:
Aguirre, Luis E., Jain, Akriti, Ball, Somedeb, Ali, Najla Al, Volpe, Virginia O., Tinsley-Vance, Sara, Sallman, David, Sweet, Kendra, Lancet, Jeffrey, Padron, Eric, Yun, Seongseok, Kuykendall, Andrew, Komrokji, Rami
Publikováno v:
In Clinical Lymphoma, Myeloma and Leukemia July 2024 24(7):459-467
This paper deals with the compensation of nonlinearities in dynamical systems using nonlinear polynomial autoregressive models with exogenous inputs (NARX). The compensation approach is formulated for static and dynamical contexts, as well as its ada
Externí odkaz:
http://arxiv.org/abs/2011.12246
This report presents the modeling results for three systems, two numerical and one experimental. In the numerical examples, we use mathematical models previously obtained in the literature as the systems to be identified. The first numerical example
Externí odkaz:
http://arxiv.org/abs/2011.10109
When the dynamical data of a system only convey dynamic information over a limited operating range, the identification of models with good performance over a wider operating range is very unlikely. Nevertheless, models with such characteristic are de
Externí odkaz:
http://arxiv.org/abs/2009.01978
This paper deals with two problems: the identification and compensation of hysteresis nonlinearity in dynamical systems using nonlinear polynomial autoregressive models with exogenous inputs (NARX). First, based on gray-box identification techniques,
Externí odkaz:
http://arxiv.org/abs/2001.03604
The present study proposes a simple grey-box identification approach to model a real DC-DC buck converter operating in continuous conduction mode. The problem associated with the information void in the observed dynamical data, which is often obtaine
Externí odkaz:
http://arxiv.org/abs/1909.04320
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