Identification of parametric models in the frequency-domain through the subspace framework under LMI constraints

DOI10.1080/00207179.2018.1535717zbMath1453.93065OpenAlexW2896686350MaRDI QIDQ5133424

Fabrice Demourant, Charles Poussot-Vassal, Pauline Kergus

Publication date: 13 November 2020

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2018.1535717

zbMATH Keywords

identificationsubspacelinear systemsparametric modelLMIs

Mathematics Subject Classification ID

System identification (93B30) Multivariable systems, multidimensional control systems (93C35) Frequency-response methods in control theory (93C80) Linear systems in control theory (93C05)

Uses Software

• Loewner

Cites Work

• Modeling and identification of linear parameter-varying systems
• Minimal representations of MIMO time-varying systems and realization of cyclostationary models.
• Subspace identification with eigenvalue constraints
• Data-Driven Parametrized Model Reduction in the Loewner Framework
• Robust pole placement in LMI regions
• H/sub ∞/ design with pole placement constraints: an LMI approach
• Subspace-based multivariable system identification from frequency response data
• A new frequency-domain subspace algorithm with restricted poles location through LMI regions and its application to a wind tunnel test
• Frequency Domain Structural System Identification by Observability Range Space Extraction

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