A convex optimization framework for the identification of homogeneous reaction systems

DOI10.1016/j.automatica.2020.108823zbMath1441.93052OpenAlexW2999276259WikidataQ126320114 ScholiaQ126320114MaRDI QIDQ2174011

Ali Al-Matouq, Tyrone L. Vincent

Publication date: 17 April 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2020.108823

zbMATH Keywords

system identificationhomogeneous reactionsidentification of kinetic modelsnon-negative Lasso

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems involving computers (process control, etc.) (93C83)

Uses Software

• CVX

Cites Work

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• Sparse recovery under matrix uncertainty
• \(\ell_{1}\)-penalization for mixture regression models
• An inverse problem in reaction kinetics
• Modeling and identification of linear parameter-varying systems
• Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
• High-Dimensional Statistics
• Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)

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