Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: a population model-based LQG approach in Hilbert space
type: Item
instance of: scholarly article
title: Tracking and blind deconvolution of blood alcohol concentration from transdermal alcohol biosensor data: a population model-based LQG approach in Hilbert space
zbMATH Open document ID: 1505.93112
author: Mengsha Yao
author: Susan E. Luczak
author: I. G. Rosen
published in: Automatica
publication date: 2022-12-09T00:00:00Z
Mathematics Subject Classification ID: 93C25
Mathematics Subject Classification ID: 93C30
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92C47
zbMATH DE Number: 7630435
zbMATH Keywords: LQG tracking
zbMATH Keywords: random abstract parabolic systems
zbMATH Keywords: transdermal alcohol biosensor
zbMATH Keywords: alcohol withdrawal syndrome
zbMATH Keywords: deconvolution
MaRDI profile type: Publication
full work available at URL: j.automatica.2022.110699
OpenAlex ID: W4309633808
cites work: The Linear Regulator Problem for Parabolic Systems
cites work: Q3996777
cites work: Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors
cites work: Approximation of discrete-time LQG compensators for distributed systems with boundary input and unbounded measurement
cites work: Optimality of adaptive Galerkin methods for random parabolic partial differential equations
cites work: Q4401802
cites work: Q5601627
cites work: Semigroups of linear operators and applications to partial differential equations
cites work: Blind deconvolution for distributed parameter systems with unbounded input and output and determining blood alcohol concentration from transdermal biosensor data
cites work: Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs
cites work: Estimating the distribution of random parameters in a diffusion equation forward model for a transdermal alcohol biosensor
cites work: Deconvolving the input to random abstract parabolic systems: a population model-based approach to estimating blood/breath alcohol concentration from transdermal alcohol biosensor data
cites work: Q3207428
DOI: 10.1016/J.AUTOMATICA.2022.110699
description: scientific article; zbMATH DE number 7630435