Stabilization for uncertain stochastic T–S fuzzy system driven by Lévy noise

Stabilization for uncertain stochastic T–S fuzzy system driven by Lévy noise
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Lévy噪声驱动的不确定随机TâS模糊系统的镇定

DOI:
10.1186/s13662-021-03573-9
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发表时间:
2021-10
影响因子:
4.1
通讯作者:
Jia Liu
Jia Liu
中科院分区:
数学3区
文献类型:
--
作者:
Dezhi Liu;Min Zhu;Jia Liu

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摘要 与其他工作不同,本文研究了由列维噪声驱动的不确定随机T - S模糊系统的几乎必然渐近稳定性。然而,列维噪声导致系统具有右连左极路径,并且不确定性是线性分式形式,这与一般的范数有界类型不同。利用特殊的随机技术和新的矩阵分解方法,我们处理了系统的右连左极路径和不确定性。作为主要结果,给出了由列维噪声驱动的随机T - S模糊系统几乎必然渐近稳定的充分条件。在此基础上,带有模糊状态反馈控制器的闭环系统是鲁棒几乎必然渐近稳定的。此外,我们的镇定准则基于线性矩阵不等式(LMI),因此在实际中反馈控制器可以更容易地设计。
AbstractDifferent from the other work, the almost sure asymptotic stability of an uncertain stochastic T–S fuzzy system driven by Lévy noise has been investigated. However, the Lévy noise caused the càdlàg paths in the system, and the uncertainty was the linear fractional form, which made difference to the general norm-bounded type. Using the special stochastic techniques and new matrix decomposition method, we deal with the càdlàg paths and uncertainty of the system. As the main results, the sufficient conditions of almost sure asymptotic stability for stochastic T–S fuzzy system driven by Lévy noise have been presented. On this basis, the closed-loop system is robustly almost surely asymptotically stable with fuzzy state-feedback controller. Furthermore, our stabilization criteria are based on linear matrix inequalities (LMIs), whence the feedback controller could be designed more easily in practice.
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