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

The issue of fault detection and isolation (FDI) under an event-triggered mechanism (ETM) is investigated for switched linear systems. An improved dynamic ETM (DETM), which includes some existing ETMs as special cases, is devised. Such a DETM contains two internal dynamic variables (IDVs), the mode information and seven adjustable parameters, and thus is flexible in adjusting the data packet transmissions to save network resources. The aim is to design a fault detection (FD) filter (FDF) and fault isolation filters (FIFs) such that the resultant filtering error systems are exponentially stable with prescribed exponential H infinity performance. A new Lyapunov function, which depends on the switching mode and two IDVs, is constructed. By utilizing the Lyapunov method and the average dwell time approach, sufficient conditions are derived to guarantee the existence of the desired FDF and FIFs, whose design methods are given accordingly. A numerical example is provided to demonstrate the effectiveness of the FDI method and the superiority of the devised DETM in reducing the waste of network resources while maintaining the FD filtering performance.

Automated summary

The study investigates fault detection and isolation under an event-triggered mechanism for switched linear systems, proposing an improved DETM to save network resources. By utilizing the Lyapunov method and the average dwell time approach, sufficient conditions are derived to guarantee the existence of desired FDF and FIFs, with their design methods provided accordingly.