Parameters estimation for RL electrical circuits based on least square and Bayesian approach

DOI10.1108/03321641211267083zbMath1358.94107OpenAlexW1986977599MaRDI QIDQ2970602

Rahman Farnoosh, A. Hajirajabi, Parisa Nabati

Publication date: 30 March 2017

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321641211267083

zbMATH Keywords

Bayesian analysisMonte CarloMarkov processesMonte Carlo methodsMarkov chainleast square estimatorelectrical circuitsleast square approximationBayesian statistical decision theory

Mathematics Subject Classification ID

Least squares and related methods for stochastic control systems (93E24) Analytic circuit theory (94C05) Numerical solution of inverse problems involving ordinary differential equations (65L09)

Related Items (3)

Parameters estimation for RL electrical circuits based on least square and Bayesian approach ⋮ Unnamed Item ⋮ Numerical simulation of fractional-order dynamical systems in noisy environments

Cites Work

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• On the singularity of least squares estimator for mean-reverting \(\alpha\)-stable motions
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• The consistency of a nonlinear least squares estimator from diffusion processes
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• Parameters estimation for RL electrical circuits based on least square and Bayesian approach
• A stochastic perspective of RL electrical circuit using different noise terms
• Asymptotic theory for non-linear least squares estimator for diffusion processes

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