期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 52, 期 8, 页码 8376-8387出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2021.3049838
关键词
Switches; Switched systems; Fault detection; Fault diagnosis; Lyapunov methods; Linear systems; Dynamic scheduling; Dynamic event-triggered mechanism (ETM); fault detection (FD); fault isolation (FI); networked systems; switched systems
类别
资金
- National Natural Science Foundation of China [62073303, 61673356]
- Hubei Provincial Natural Science Foundation of China [2015CFA010]
- 111 Project [B17040]
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.
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.
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