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Membership-Function-Dependent Stability Analysis of Interval Type-2 Polynomial Fuzzy-Model-Base Control Systems

机译:区间2型多项式模糊模型为基础的控制系统的隶属函数相关稳定性分析

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摘要

In this paper, the stability analysis for interval type-2 (IT2) polynomial fuzzy-model-based (PFMB) control system using the information of membership functions is investigated. To tackle uncertainties, IT2 membership functions are used in the IT2 polynomial fuzzy model and IT2 polynomial fuzzy controller. The stability of IT2 PFMB control system is investigated based on the Lyapunov stability theory and both sets of membership function independent (MFI) and membership function dependent (MFD) stability conditions are derived on the basis of the sum-of-squares (SOS) approach. To make the stability conditions MFD, the boundary information of IT2 membership functions is used in the stability analysis. To extract richer information of IT2 membership functions, the operating domain is partitioned into sub-domains. In each sub-domain, the boundary information of IT2 membership functions and those of the upper and lower membership function are obtained. Furthermore, to further relax the conservativeness, a switching polynomial fuzzy controller, together with the informations obtained in each sub-domain, is employed in investigating the stability analysis. Numerical examples and simulation results are given to demonstrate the validity of MFD and MFD switching methods.
机译:本文研究了基于隶属度函数信息的区间类型2(IT2)多项式基于模糊模型(PFMB)的控制系统的稳定性。为了解决不确定性,在IT2多项式模糊模型和IT2多项式模糊控制器中使用了IT2隶属函数。基于Lyapunov稳定性理论研究了IT2 PFMB控制系统的稳定性,并基于平方和(SOS)方法导出了隶属函数独立(MFI)和依赖隶属函数(MFD)的两组稳定条件。为了使稳定性条件为MFD,将IT2隶属函数的边界信息用于稳定性分析。为了提取更丰富的IT2成员资格信息,将操作域划分为多个子域。在每个子域中,获取IT2隶属函数的边界信息以及上,下隶属函数的边界信息。此外,为了进一步放松保守性,在研究稳定性分析时,采用开关多项式模糊控制器以及在每个子域中获得的信息。数值算例和仿真结果证明了MFD和MFD切换方法的有效性。

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