Relaxed Stability and Non-weighted $$L_2$$ -Gain Analysis for Asynchronously Switched Polynomial Fuzzy Systems

IF 3.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Fuzzy Systems Pub Date : 2024-09-17 DOI:10.1007/s40815-024-01840-x
Zhiyong Bao, Hak-Keung Lam, Xiaomiao Li, Fucai Liu
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Abstract

This paper concerns the stability and non-weighted \(L_2\)-gain analysis issues for the switched systems subject to asynchronous switching and external disturbance. By taking full advantage of the admissible edge-dependent average dwell time (AED-ADT) switching signal, a stability criterion of asynchronously switched systems is proposed to achieve a lower non-weighted \(L_2\)-gain index than the existing results. Furthermore, the dynamics of switched systems are described by using the polynomial fuzzy model instead of the T-S fuzzy model, which can represent a wider range of nonlinear plants. For such asynchronously switched polynomial fuzzy systems, the relaxed conditions are derived through the membership-function-dependent (MFD) technique and novel high-order multiple Lyapunov functions (MLFs) construction method to guarantee less conservative stability and non-weighted \(L_2\)-gain results. Finally, the superiority of the proposed approaches are verified through two simulation examples.

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异步切换多项式模糊系统的松弛稳定性和非加权 $L_2$$ - 增益分析
本文关注受异步切换和外部扰动影响的切换系统的稳定性和非加权(L_2)-增益分析问题。通过充分利用可容许边缘依赖平均驻留时间(AED-ADT)开关信号,提出了异步开关系统的稳定性准则,以实现比现有结果更低的非(L_2\)-增益指数。此外,使用多项式模糊模型而不是 T-S 模糊模型来描述开关系统的动态,可以表示更多的非线性植物。对于这种异步开关多项式模糊系统,通过成员函数依赖(MFD)技术和新颖的高阶多重 Lyapunov 函数(MLFs)构造方法推导出松弛条件,以保证较低的保守稳定性和非加权(L_2\)-增益结果。最后,通过两个仿真实例验证了所提方法的优越性。
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来源期刊
International Journal of Fuzzy Systems
International Journal of Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
7.80
自引率
9.30%
发文量
188
审稿时长
16 months
期刊介绍: The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.
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