On the informativity of direct identification experiments in dynamical networks

DOI10.1016/j.automatica.2022.110742OpenAlexW4213399373MaRDI QIDQ2682295

Kévin Colin, Xavier Bombois, Håkan Hjalmarsson, Van den Hof, Paul M. J.

Publication date: 31 January 2023

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110742

zbMATH Keywords

optimal experiment designdynamic network identificationdata informativity

Mathematics Subject Classification ID

System identification (93B30) Networked control (93B70)

Cites Work

• Optimal identification experiment design for LPV systems using the local approach
• Least costly identification experiment for control
• Optimal identification experiment design for the interconnection of locally controlled systems
• Identifiability of linear dynamic networks
• Closed-loop identification of MIMO systems in the prediction error framework: data informativity analysis
• Data informativity for the open-loop identification of MIMO systems in the prediction error framework
• Identification of dynamic models in complex networks with prediction error methods-basic methods for consistent module estimates
• Identification for control of multivariable systems: controller validation and experiment design via LMIs
• Just relax: convex programming methods for identifying sparse signals in noise
• Identifiability of Dynamical Networks With Partial Node Measurements
• Input design via LMIs admitting frequency-wise model specifications in confidence regions

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