Non-fragile sampled-data control for uncertain fractional-order systems with time-varying delay

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-12-26 DOI:10.1016/j.cam.2024.116438
Lianglin Xiong , Junzhou Dai , Haiyang Zhang
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Abstract

The aim of this paper is to investigate a novel fractional order integral inequality (FOII) for reducing the conservatism of the stability and the non-fragile sampled-data control (NFSDC) criterion for the uncertain fractional-order systems (FOSs) with time-varying delay (TVD). Firstly, in order to estimate the quadratic derivative of fractional-order integral more accurately, a new FOII with free weighting matrix is proposed, which has a tighter upper bound than the existing FOII. Second, in order to more accurately reflect the delay variation and reduce the data transmission frequency, the influence of uncertainty and time-varying delay are considered, the NFSDC scheme followed by the discussed stability criterion is given based on our novel piecewise Lyapunov functional and introduced FOII. Finally, three numerical examples demonstrate the feasibility and superiority of the proposed method.
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时变时滞不确定分数阶系统的非脆弱采样数据控制
摘要研究了一类具有时变时滞的不确定分数阶系统的稳定性和非脆弱采样数据控制判据的保守性降低的分数阶积分不等式。首先,为了更准确地估计分数阶积分的二次导数,提出了一种新的具有自由权重矩阵的FOII,该FOII的上界比现有的FOII更紧;其次,为了更准确地反映时延变化,降低数据传输频率,考虑了不确定性和时变时延的影响,在本文提出的分段Lyapunov泛函的基础上,引入了FOII,给出了基于上述稳定性判据的NFSDC方案。最后,通过三个算例验证了该方法的可行性和优越性。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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