Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Marcos A. Gonzalez-Olvera"'
Publikováno v:
Circuits, Systems, and Signal Processing. 41:2338-2357
In this paper, we present some options to deal with the problem of parameter estimation in continuous-time stochastic systems under white, and coloured noise perturbations using classical methods. Least-squares method (LSM) is one of the most widely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b93301744b3175c1dc99eee14d11a30
https://doi.org/10.1007/s00034-021-01862-y
https://doi.org/10.1007/s00034-021-01862-y
Publikováno v:
Macromolecular Theory and Simulations. 31:2200035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcee8dcff7230b6768747b9bc5f9d28a
https://doi.org/10.1002/mats.202200035
https://doi.org/10.1002/mats.202200035
Autor:
Marcos A. Gonzalez-Olvera, Yu Tang
Publikováno v:
Chaos, Solitons & Fractals. 117:255-263
In this work we present a novel platform for analysis of fractional-order nonlinear systems that, from a differential analysis as well as contraction analysis point of view, gives the sufficient conditions for the mutual convergence of nearby traject
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed6f13680834868671d7108b71da88e4
https://doi.org/10.1016/j.chaos.2018.10.030
https://doi.org/10.1016/j.chaos.2018.10.030
Autor:
Lourdes Arriaga-Pizano, Ron Leder, Eduardo Ferat-Osorio, Ana Gabriela Gallardo-Hernández, Cristina Revilla-Monsalve, J. Escobar, Graciela Libier Cabrera-Rivera, José Israel León-Pedroza, Ana Luisa Hernández-Pérez, Marcos A. Gonzalez-Olvera, Constatino Lopez-Macias, Uriel Guadarrama-Aranda
Publikováno v:
Computer Methods and Programs in Biomedicine. 210:106366
Background and objectives Sepsis is a severe infection that increases mortality risk and is one if the main causes of death in intensive care units. Accurate detection is key to successful interventions, but diagnosis of sepsis is complicated because
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6b1b0fd1dd16690e99173e7829c3c5e
https://doi.org/10.1016/j.cmpb.2021.106366
https://doi.org/10.1016/j.cmpb.2021.106366
Autor:
Medardo Castellanos-Fuentes, Ron Leder, Ana Gabriela Gallardo-Hernández, J. Escobar, Marcos A. Gonzalez-Olvera, Cristina Revilla-Monsalve
Publikováno v:
Computers in biology and medicine. 108
Glucose-Insulin regulation models can be used to individualize insulin therapy. However, the experimental techniques currently used to identify the appropriate parameter sets of an individual are expensive, time consuming, and very unpleasant for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e65ca8f6c38601ac8390a929547a699d
https://pubmed.ncbi.nlm.nih.gov/31005799
https://pubmed.ncbi.nlm.nih.gov/31005799
Publikováno v:
Chaos, Solitons & Fractals. 143:110538
Shipping water (SW) events occur when waves, usually during extreme weather conditions, overtop the deck of vessels or structures. Since SW events take place independently but close enough in time to interact with one another, their simulation requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7f24151c800ceef871f15a93dd4633c
https://doi.org/10.1016/j.chaos.2020.110538
https://doi.org/10.1016/j.chaos.2020.110538
Publikováno v:
CCE
In this work, a scheme for the identification of a nonlinearly parameterized neural system described by the Hindmarsh-Rose model, using synchronization and contraction for stability, is proposed. The given algorithm is based on the construction of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0225cd4b15b970b812ae09aa9b4508a
https://doi.org/10.1109/iceee.2018.8533949
https://doi.org/10.1109/iceee.2018.8533949
Publikováno v:
Communications in Computational Physics. 24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd400f1912f926cd24bf16355e5a1e85
https://doi.org/10.4208/cicp.oa-2017-0217
https://doi.org/10.4208/cicp.oa-2017-0217
Autor:
Yu Tang, Marcos A. Gonzalez-Olvera
Publikováno v:
Neurocomputing. 148:318-325
Recurrent neurofuzzy networks have proven to be useful in identification of systems with unknown dynamics when only input–output information is available. However, training algorithms for these structures usually require also the measurement of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3846d62c2b82056d8bca2433ec706ad
https://doi.org/10.1016/j.neucom.2014.06.066
https://doi.org/10.1016/j.neucom.2014.06.066
Autor:
Yu Tang, Marcos A. Gonzalez-Olvera
Publikováno v:
ICNSC
In this work we present a method to find the parameters of a fractional differential incommensurate state-space systems based on pulse transformation, considering only the knowledge of the structure of the equation and the input-state signals. Exampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::337ebc7c6b0e217b0d95d5b3a7e9d64d
https://doi.org/10.1109/icnsc.2016.7479033
https://doi.org/10.1109/icnsc.2016.7479033