Novel Stability and Stabilization Conditions for Fractional‐Order Systems With Mixed Delays

ABSTRACT This paper investigates the stability and stabilization of the fractional‐order systems with mixed delays (FOSMDs), including discrete delays and distributed delays. At first, an order‐dependent stability condition for FOSMDs is derived with the use of small gain theorem. Then, based on the stability condition, a robust stability condition for the uncertain FOSMDs with polytopic uncertainties is proposed. Next, with the robust stability condition and the designed state feedback controllers, a robust stabilization condition for the uncertain FOSMDs is proposed. At last, several numerical examples are put forward to manifest the effectiveness of the obtained results.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-12-25
DOI
https://doi.org/10.1002/mma.10668
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00

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article

Novel Stability and Stabilization Conditions for Fractional‐Order Systems With Mixed Delays

Jun‐Guo Lu, Qing‐Hao Zhang, Zhen Zhu, Yi‐Nan Chen
Mathematical Methods in the Applied Sciences
Advanced Control Systems Design
article

Novel Stability and Stabilization Conditions for Fractional‐Order Systems With Mixed Delays

Jun‐Guo Lu, Qing‐Hao Zhang, Zhen Zhu, Yi‐Nan Chen
article en

Abstract

ABSTRACT This paper investigates the stability and stabilization of the fractional‐order systems with mixed delays (FOSMDs), including discrete delays and distributed delays. At first, an order‐dependent stability condition for FOSMDs is derived with the use of small gain theorem. Then, based on the stability condition, a robust stability condition for the uncertain FOSMDs with polytopic uncertainties is proposed. Next, with the robust stability condition and the designed state feedback controllers, a robust stabilization condition for the uncertain FOSMDs is proposed. At last, several numerical examples are put forward to manifest the effectiveness of the obtained results.

Mathematical Methods in the Applied SciencesVol. 48(6)
Ministry of Education of the People's Republic of China (CN), Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 71%
Advanced Control Systems Design
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