Asynchronous fault detection filtering for Markovian jump systems with output sensor saturation.

Area of Science:

• Control Systems Engineering
• Signal Processing
• System Identification

Background:

• Markovian jump systems are complex dynamic systems subject to abrupt changes.
• Sensor saturation and external disturbances pose significant challenges to fault detection.
• Existing fault detection methods may not be robust to these uncertainties.

Purpose of the Study:

• To propose a robust asynchronous filter for fault detection in Markovian jump systems.
• To address the challenges posed by sensor saturation and external disturbances.
• To develop a reliable fault detection scheme with guaranteed performance.

Main Methods:

• Design of a robust asynchronous filter with a different mode from the original system.
• Generation of a residual signal to construct an evaluation function for fault detection.
• Computation of detailed filter matrices based on existing conditions.

Main Results:

• The proposed filter demonstrates tolerance to external disturbances.
• The evaluation function successfully performs fault detection.
• Practical and comparative simulations verify the filter's efficiency.

Conclusions:

• The developed asynchronous filter provides a robust solution for fault detection in Markovian jump systems.
• The technique effectively handles sensor saturation and external disturbances.
• The proposed method offers a reliable approach for enhancing system safety and performance.