Work

Identification of Shifted‐Affine Linear Parameter‐Varying Models in the Errors‐In‐Variables Setting

Year: 2026

Type: article

Source: International Journal of Robust and Nonlinear Control

DOI: 10.1002/rnc.70554

Authors: Leander Hemelhof, Chris Verhoek, Roland Tóth, Ivan Markovsky, Panagiotis Patrinos

Institutions: KU Leuven, University of Pennsylvania, Eindhoven University of Technology, HUN-REN Institute for Computer Science and Control, Institució Catalana de Recerca i Estudis Avançats, International Center for Numerical Methods in Engineering

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Fonds Wetenschappelijk Onderzoek, Institució Catalana de Recerca i Estudis Avançats, Onderzoeksraad, KU Leuven

Awards: Learning to optimize nonconvex problems: provably and efficiently, Taming Nonconvexity in Structured Low-Rank Optimization., G6739774662, From model-based to data-driven: signal processing and control engineering for nonlinear systems

OpenAlex ID: W7155178087

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Cites: 26

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