Sampled-Data Stabilization of Fractional Linear System under Arbitrary Sampling Periods

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Název: Sampled-Data Stabilization of Fractional Linear System under Arbitrary Sampling Periods
Autoři: Kecai Cao, Juping Gu, Jingfeng Mao, Chenglin Liu
Zdroj: Fractal and Fractional, Vol 6, Iss 8, p 416 (2022)
Informace o vydavateli: MDPI AG
Rok vydání: 2022
Sbírka: Directory of Open Access Journals: DOAJ Articles
Témata: sampled-data stabilization, fractional system, arbitrary sampling period, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
Popis: The sampled-data stabilization of a fractional continuous linear system under arbitrary sampling periods was first investigated in this paper wherein novel co-designed sampled-data controllers were constructed based on the compensation of scaling gains. With the help of fractional difference approximation, sufficient and necessary conditions for global asymptotic stability were first presented in the discrete-time domain, and then co-designed sampled-data controllers were constructed with only the “newest” or “oldest” state information available for controller design. Due to the compensation scheme between scaling gains and sampling periods, much more flexibility on selecting different sampling periods was provided in the sampled-data stabilization of the fractional continuous linear system which is significantly preferred for digital implementation. Numerical studies are also presented to illustrate the effectiveness of our co-designed sampled-data controllers under different sampling periods.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: https://www.mdpi.com/2504-3110/6/8/416; https://doaj.org/toc/2504-3110; https://doaj.org/article/4d1e10ac593a4d4e989da35a90b9602c
DOI: 10.3390/fractalfract6080416
Dostupnost: https://doi.org/10.3390/fractalfract6080416
https://doaj.org/article/4d1e10ac593a4d4e989da35a90b9602c
Přístupové číslo: edsbas.73D88E70
Databáze: BASE
Popis
Abstrakt:The sampled-data stabilization of a fractional continuous linear system under arbitrary sampling periods was first investigated in this paper wherein novel co-designed sampled-data controllers were constructed based on the compensation of scaling gains. With the help of fractional difference approximation, sufficient and necessary conditions for global asymptotic stability were first presented in the discrete-time domain, and then co-designed sampled-data controllers were constructed with only the “newest” or “oldest” state information available for controller design. Due to the compensation scheme between scaling gains and sampling periods, much more flexibility on selecting different sampling periods was provided in the sampled-data stabilization of the fractional continuous linear system which is significantly preferred for digital implementation. Numerical studies are also presented to illustrate the effectiveness of our co-designed sampled-data controllers under different sampling periods.
DOI:10.3390/fractalfract6080416