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Fault Diagnosis for Networked Switched Systems: An Improved Dynamic Event-Based Scheme.

Xiongbo Wan, Tizhuang Han, Jianqi An

IEEE Transactions on Cybernetics

|February 5, 2021

Summary

This study introduces an improved dynamic event-triggered mechanism (DETM) for fault detection and isolation in switched linear systems. The new method efficiently reduces network resource waste while maintaining performance.

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Area of Science:

Control Systems Engineering
Networked Systems
System Stability Analysis

Background:

Fault detection and isolation (FDI) is crucial for system reliability.
Event-triggered mechanisms (ETM) aim to optimize network resource usage.
Switched linear systems present unique challenges for FDI due to their dynamic nature.

Purpose of the Study:

To develop an improved dynamic event-triggered mechanism (DETM) for FDI in switched linear systems.
To design fault detection filters (FDF) and fault isolation filters (FIFs) ensuring exponential stability and H∞ performance.
To demonstrate the resource-saving advantages of the proposed DETM.

Main Methods:

A novel dynamic event-triggered mechanism (DETM) incorporating internal dynamic variables (IDVs) and adjustable parameters.
Construction of a new Lyapunov function dependent on switching mode and IDVs.
Application of Lyapunov stability theory and the average dwell time approach.

Main Results:

Sufficient conditions derived for the existence of FDF and FIFs.
Design methodologies for the filters are provided.
The DETM demonstrated superior network resource efficiency compared to existing ETMs.

Conclusions:

The proposed DETM offers a flexible and efficient approach to FDI for switched linear systems.
The developed FDI method effectively reduces network resource consumption without compromising performance.
The study validates the effectiveness and superiority of the DETM through a numerical example.