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Particle filtering for chaotic dynamical systems using future right-singular vectors

Autor: Ryne Beeson, N. Sri Namachchivaya

Publikováno v: Nonlinear Dynamics. 102:679-696

In this paper, we combine tools from the study of chaotic dynamical systems with nonlinear non-Gaussian data assimilation algorithms to produce novel particle filtering algorithms, where the use of dynamical information improves both the accuracy of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::851a482e85214bf7400473473b792376
https://doi.org/10.1007/s11071-020-05727-y

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Particle Filters with Nudging in Multiscale Chaotic Systems: With Application to the Lorenz ’96 Atmospheric Model

Autor: Hoong Chieh Yeong, Nicolas Perkowski, Ryne Beeson, N. Sri Namachchivaya

Publikováno v: Journal of Nonlinear Science. 30:1519-1552

This paper presents reduced-order nonlinear filtering schemes based on a theoretical framework that combines stochastic dimensional reduction and nonlinear filtering. Here, dimensional reduction is achieved for estimating the slow-scale process in a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b642e8fa7c972b703d3472a08643bb72
https://doi.org/10.1007/s00332-020-09616-x

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Approximation of the Filter Equation for Multiple Timescale, Correlated, Nonlinear Systems

Autor: Ryne Beeson, Navaratnam S. Namachchivaya, Nicolas Perkowski

This paper considers the approximation of the continuous time filtering equation for the case of a multiple timescale (slow-intermediate, and fast scales) that may have correlation between the slow-intermediate process and the observation process. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe0743bd28edb60f24e7b27495fc32e

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Efficient Nonlinear Filtering of Multiscale Systems with Specific Structure

Autor: Ryne Beeson, N. Sri Namachchivaya

Publikováno v: 2019 22th International Conference on Information Fusion (FUSION).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dad221ce5d9f9da368cf58ac3e9b00cf
https://doi.org/10.23919/fusion43075.2019.9011425

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α2δ-2 Protein Controls Structure and Function at the Cerebellar Climbing Fiber Synapse

Autor: Kathleen A. Beeson, Gary L. Westbrook, Ryne Beeson, Eric Schnell

Publikováno v: J Neurosci

α2δ proteins (Cacna2d1-4) are auxiliary subunits of voltage-dependent calcium channels that also drive synapse formation and maturation. Because cerebellar Purkinje cells (PCs) only express one isoform of this family, α2δ-2 (Cacna2d2), we used PC

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bb46f2bd5b0293967ccfb2b27dd130f
https://pubmed.ncbi.nlm.nih.gov/32086258

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Nudged Particle Filters in Multiscale Chaotic Systems with Correlated Sensor Noise

Autor: Ryne Beeson, N. Sri Namachchivaya

Publikováno v: Modeling, Stochastic Control, Optimization, and Applications ISBN: 9783030254971

In this work we present recent and new results for the theory and algorithms of efficient estimation of the coarse-grain dynamics of a multiscale chaotic dynamical system, where observations may be limited both spatial and in time, and the observatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25464b54f3795290c49f8ac64b23ffdf
https://doi.org/10.1007/978-3-030-25498-8_2

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Reduced Order Nonlinear Filters for Multi-Scale Systems with Correlated Sensor Noise

Autor: N. Sri Namachchivaya, Ryne Beeson, Hoong Chieh Yeong, Nicolas Perkowski

Publikováno v: FUSION

Ahstract- This paper provides theoretical results and numerical demonstration for nonlinear filtering of systems with multiple timescales and correlated signal-sensor noise. The motivation of this work is to provide the necessary theoretical bedrock

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::32aa929c28610f4b6cfb4603b0386064
https://doi.org/10.23919/icif.2018.8455704

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Dynamic Data-Driven Adaptive Observations in Data Assimilation for Multi-scale Systems

Autor: N. Sri Namachchivaya, Nicolas Perkowski, Hoong Chieh Yeong, Ryne Beeson, Peter W. Sauer

Publikováno v: Handbook of Dynamic Data Driven Applications Systems ISBN: 9783319955032
Handbook of Dynamic Data Driven Applications Systems
Handbook of Dynamic Data Driven Applications Systems ISBN: 9783030745677

This chapter considers several research topics that encompass the area of Dynamic Data Driven Applications Systems (DDDAS), and describes the multidisciplinary methods required for the analysis and prediction of complex systems. It focuses on develop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e32fb63f5e2921017076712cf97280b
https://doi.org/10.1007/978-3-319-95504-9_3

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