Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification-Reference-Cited by-同舟云学术

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Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification

Published:2024 Issue: Volume:8 Page:388-393
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

González Rodrigo A.¹^ORCID,Classens Koen¹,Rojas Cristian R.²^ORCID,Welsh James S.³^ORCID,Oomen Tom¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

2. Division of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

3. School of Engineering, University of Newcastle, Callaghan, NSW, Australia

Funder

Research Program VIDI

Netherlands Organization for Scientific Research

Digital Futures Project EXTREMUM

Swedish Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7782633/10411713/10500885.pdf?arnumber=10500885

Reference20 articles.

1. System Identification

2. Identification of Continuous-time Models from Sampled Data

3. The advantages of directly identifying continuous-time transfer function models in practical applications

4. Refined instrumental variable methods of recursive time-series analysis Part III. Extensions

5. An optimal IV technique for identifying continuous-time transfer function model of multiple input systems

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