通过基于区位分析的中间观测器进行离散时间高木-菅野模糊系统的状态和故障区间估计

IF 10.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Fuzzy Systems Pub Date : 2024-09-12 DOI:10.1109/TFUZZ.2024.3459642

Lulin Zhang;Zhuoxue Li;Yi Li;Jiuxiang Dong

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引用次数: 0

摘要

本文研究了离散时间高木-菅野模糊系统的状态和故障区间估计方法。首先，通过 T-N-L 结构设计了具有 $H_{\infty }$ 性能的新型中间观测器。由于引入了两个辅助变量，所提出的中间观测器具有更高的自由度。其次，基于这种新型中间观测器，利用区位分析给出了未知输入和故障导数对状态和故障估计的影响范围，从而得到了状态和故障的区间估计结果。通过直流电机控制的倒立摆系统验证了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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State and Fault Interval Estimation for Discrete-Time Takagi–Sugeno Fuzzy Systems via Intermediate Observer Base on Zonotopic Analysis

In this article, we study state and fault interval estimation method for discrete-time Takagi–Sugeno fuzzy systems. First, a novel intermediate observer via T-N-L structure with

$H_{\infty }$

performance is designed. The intermediate observer proposed is designed with a higher degree of freedom due to the introduction of two auxiliary variables. Second, based on this novel intermediate observer, zonotopic analysis is utilized to give a range of the effects of unknown inputs and fault derivatives on state and fault estimation, thus interval estimation results for state and fault are obtained. The effectiveness of the proposed method is verified by a dc motor-controlled inverted pendulum system.

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来源期刊

IEEE Transactions on Fuzzy Systems 工程技术-工程：电子与电气

CiteScore

20.50

自引率

13.40%

发文量

517

审稿时长

3.0 months

期刊介绍： The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.