Analysis of Fractional Dynamical Systems Using Recursive Bayesian Estimation Methods and Response Data
Date
Subject
Fractional systems
Bayesian estimation
system identification
parameter estimation
Bayesian estimation
system identification
parameter estimation
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Instituto Tecnológico de Santo Domingo (INTEC)
The research titled Analysis of fractional dynamical systems using recursive Bayesian estimation methods and response data was presented at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31 2024, as part of the Minisymposium Computational methods for stochastic engineering dynamics.
The research titled Analysis of fractional dynamical systems using recursive Bayesian estimation methods and response data was presented at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31 2024, as part of the Minisymposium Computational methods for stochastic engineering dynamics.
The research titled Analysis of fractional dynamical systems using recursive Bayesian estimation methods and response data was presented at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31 2024, as part of the Minisymposium Computational methods for stochastic engineering dynamics.
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info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Nota
info:eu-repo/semantics/publishedVersion
Nota
Source
Science, Engineering and Applications; Vol. 7 No. 2 (2024): Science, Engineering and Applications; 139-141
Ciencia, Ingenierías y Aplicaciones; Vol. 7 Núm. 2 (2024): Ciencia, Ingenierías y Aplicaciones; 139-141
2636-2171
2636-218X
10.22206/cite.2024.v7i2
Ciencia, Ingenierías y Aplicaciones; Vol. 7 Núm. 2 (2024): Ciencia, Ingenierías y Aplicaciones; 139-141
2636-2171
2636-218X
10.22206/cite.2024.v7i2