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Finite-time ESO-based two-stage robust model-free predictive control for flexible interconnecting device.

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Titel: Finite-time ESO-based two-stage robust model-free predictive control for flexible interconnecting device.
Autoren: Zhang, Linghao1 (AUTHOR) 32106@sdju.edu.cn, Liu, Ruihuang2 (AUTHOR), Shi, Mingming2 (AUTHOR), Wang, Jiaming2 (AUTHOR), Zhang, Chenyu2 (AUTHOR)
Quelle: Electrical Engineering. May2025, Vol. 107 Issue 5, p6099-6106. 8p.
Schlagwörter: *ENGINEERING mathematics, *ROBUST control, *APPLIED mathematics, *PREDICTION models
Abstract: This article is concerned with an innovative approach to improve control performance for flexible interconnecting devices. Specifically, a finite-time extended state observer-based two-stage robust model-free predictive control is proposed to enhance the robust performance and to attenuate the unnecessary switching loss. The two key features of this suggested control protocol that, first, a two-stage robust model-free predictive control is developed to reduce the switching frequency while ensuring system performance, and, second, a finite-time extended state observer is leveraged to attenuate the parametric uncertainties. Finally, we illustrate our control methodology on a numerical example, and performance evaluations validate its effectiveness, thus promising more efficient and robust control techniques for practical applications. [ABSTRACT FROM AUTHOR]
Datenbank: Academic Search Index
Beschreibung
Abstract:This article is concerned with an innovative approach to improve control performance for flexible interconnecting devices. Specifically, a finite-time extended state observer-based two-stage robust model-free predictive control is proposed to enhance the robust performance and to attenuate the unnecessary switching loss. The two key features of this suggested control protocol that, first, a two-stage robust model-free predictive control is developed to reduce the switching frequency while ensuring system performance, and, second, a finite-time extended state observer is leveraged to attenuate the parametric uncertainties. Finally, we illustrate our control methodology on a numerical example, and performance evaluations validate its effectiveness, thus promising more efficient and robust control techniques for practical applications. [ABSTRACT FROM AUTHOR]
ISSN:09487921
DOI:10.1007/s00202-024-02863-1