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

IF 2.1 3区数学 Q1 MATHEMATICS, APPLIED

Mathematical Methods in the Applied Sciences Pub Date : 2024-12-25 DOI:10.1002/mma.10668

Yi-Nan Chen, Jun-Guo Lu, Qing-Hao Zhang, Zhen Zhu

引用次数: 0

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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来源期刊

Mathematical Methods in the Applied Sciences 数学-应用数学

CiteScore

4.90

自引率

6.90%

发文量

798

审稿时长

6 months

期刊介绍： Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.