This paper studies the problem of robust fault estimation for a class of Takagi‐Sugeno (T‐S)
fuzzy systems which subject to interval time‐varying delay, external disturbance, and …

Fault estimation for classical nonlinear Lipschitz systems has been subject to several
research works. So far, much less interest has been given to the more generalized class of …

Insufficient training data often leads to overfitting, posing a significant challenge in
diagnosing faults in mechanical devices, particularly rotating machinery. To address this …

本文研究一类具有连续状态时变时滞, 执行器故障和范数有界外部干扰的Takagi-Sugeno (TS)
模糊系统的鲁棒故障估计问题. 利用H∞ 优化技术, 构造了一种新颖的模糊学习观测器 …

The research object of this paper is a nonlinear interval time-varying time-delay system with
external disturbances, actuator and sensor faults based on TS fuzzy model. A proportional …

Due to lack of training samples, overfitting is a severe problem in fault diagnosis for
mechanical devices, especially for rotating machinery. In this paper, a graph neural network …

This paper studies the design method of multiplicative fault diagnosis observer for a class of
uncertain discrete-time linear time-varying systems. Compared with the traditional Kalman …