Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables
Robust Interval Type-2 Fuzzy Observer for Fault Detection of Networked Control Systems Subject to Immeasurable Premise Variables
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DOI：
10.1109/jsyst.2018.2889998
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发表时间：
2019-09
影响因子：
4.4
通讯作者：
Hossein Hassani;J. Zarei;R. Razavi-Far;M. Saif
中科院分区：
文献类型：
--
作者：
Hossein Hassani;J. Zarei;R. Razavi-Far;M. Saif
本文提出了一种新的观测器设计方法，用于随机测量时延下网络控制系统的故障检测。在物理系统和观测器之间的数据传输中，假设了一个随机变化的通信延迟结构。为了增加所提出的高木-关野模糊观测器的适用性，已经考虑在不可测的前提变量下。此外，时变参数不确定性被添加到系统中，这有助于系统的不确定性。理论材料与系统和观测器的设计与一个预定的$H_{\infty }$指标提供导致在保守性较低的限制，在证明闭环系统的渐近均方稳定性。仿真结果，已被应用到一个现实世界的系统的隧道二极管电路，已显示如何建议的观察器将受益于使用区间型2模糊集处理系统的不确定性。
In this paper, a novel observer design has been suggested for fault detection of networked control systems under random measurement delays. A randomly varying communication delay structure has been assumed in data transmission between the physical system and the observer. In order to increase the applicability of the proposed Takagi—Sugeno fuzzy observer, it has been contemplated to be under immeasurable premise variables. In addition, time-varying parameter uncertainties are added to the system, which contribute to the system uncertainties. Theoretical materials related to the system and the observer design with a predetermined $H_{\infty }$ index are provided resulting in less conservative constraints in the proof of asymptotical mean-square stability of the closed-loop system. Simulation results, which have been applied to a real-world system of tunnel diode circuit, have shown how the proposed observer would benefit from the use of interval type-2 fuzzy sets in dealing with uncertainties of the system.