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

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Bibliographic Details
Title: Sampled-Data Stabilization of Fractional Linear System under Arbitrary Sampling Periods
Authors: Kecai Cao, Juping Gu, Jingfeng Mao, Chenglin Liu
Source: Fractal and Fractional, Vol 6, Iss 8, p 416 (2022)
Publisher Information: MDPI AG
Publication Year: 2022
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: sampled-data stabilization, fractional system, arbitrary sampling period, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
Description: 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.
Document Type: article in journal/newspaper
Language: 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
Availability: https://doi.org/10.3390/fractalfract6080416
https://doaj.org/article/4d1e10ac593a4d4e989da35a90b9602c
Accession Number: edsbas.73D88E70
Database: BASE
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