Input design for Bayesian frequency response identification via convex programming

DOI10.1016/j.automatica.2021.110023zbMath1482.93146OpenAlexW3217590996MaRDI QIDQ2071919

Man Zheng, Yoshito Ohta

Publication date: 31 January 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.110023

zbMATH Keywords

convex optimizationsystem identificationBayesian estimationexperiment designfrequency response identification

Mathematics Subject Classification ID

Convex programming (90C25) System identification (93B30) Frequency-response methods in control theory (93C80)

Uses Software

• astsa

Cites Work

• Unnamed Item
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• Multidimensional maximum-entropy covariance extension
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• Generalized KYP lemma: unified frequency domain inequalities with design applications
• Input design via LMIs admitting frequency-wise model specifications in confidence regions

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