Parameter Identification of Discrete-time Linear Time-invariant Systems Using State and Input Data-Reference-Cited by-同舟云学术

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Parameter Identification of Discrete-time Linear Time-invariant Systems Using State and Input Data

Published:2024-01 Issue:1 Volume:22 Page:333-346
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Wei Yusheng^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12555-023-0148-6.pdf

Reference41 articles.

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2. K. J. Åström and P. Eykhoff, “System identification - A survey,” Automatica, vol. 7, no. 2, pp. 123–162, 1971.

3. S. Nõmm and C. H. Moog, “Identifiability of discrete-time nonlinear systems,” IFAC Proceedings Volumes, vol. 37, no. 13, pp. 333–338, 2004.

4. X. Xia and C. H. Moog, “Identifiability of nonlinear systems with application to HIV/AIDS models,” IEEE Transactions on Automatic Control, vol. 48, no. 2, pp. 330–336, 2003.

5. F. Anstett-Collin, L. Denis-Vidal, and G. Millérioux, “A priori identifiability: An overview on definitions and approaches,” Annual Reviews in Control, vol. 50, pp. 139–149, 2020.

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1. Employing advanced control, energy storage, and renewable technologies to enhance power system stability;Energy Reports;2024-06

2. Identification of Unstable Linear Systems using Data-driven Koopman Analysis;2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2024-05-27

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