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