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Related Experiment Video

Updated: May 18, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Reliable finite frequency filter design for networked control systems with sensor faults.

He-Hua Ju¹, Yue Long, Heng Wang

¹College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China. juhehua@bjut.edu.cn

Sensors (Basel, Switzerland)

|September 13, 2012

Summary

This study presents a reliable filter design for networked control systems (NCSs) facing data issues. The method ensures system stability and performance within specific frequency ranges, addressing quantization and data loss.

Keywords:

data missing networked control system quantization reliable filtering sensor faults

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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

Area of Science:

Control Systems Engineering
Signal Processing
Systems Theory

Background:

Networked Control Systems (NCSs) are susceptible to performance degradation due to data quantization, missing information, and sensor faults.
Ensuring reliable system operation under these uncertainties is crucial for practical applications.
Existing methods may not adequately address the combined challenges of finite frequency performance, time delays, and data imperfections.

Purpose of the Study:

To develop a reliable finite frequency filter design for discrete time-delay switched NCSs.
To account for the effects of quantization, data missing, and sensor stuck faults.
To provide a systematic procedure for filter synthesis and gain characterization.

Main Methods:

Modeling NCSs as discrete time-delay switched systems.
Adopting a finite frequency l(2) gain criterion for filter design.
Converting filter design conditions into a set of linear matrix inequality (LMI) conditions.
Utilizing convex optimization and semi-definite programming for solving the LMIs.

Main Results:

A procedure for reliable filter synthesis is established based on the derived LMI conditions.
The filter gains are characterized as solutions to a solvable convex optimization problem.
The proposed method effectively addresses quantization, data missing, and sensor stuck faults within a finite frequency domain.

Conclusions:

The developed finite frequency filter design provides a robust solution for NCSs with data imperfections and time delays.
The LMI-based approach offers a computationally tractable method for synthesizing reliable filters.
The effectiveness of the proposed method is validated through a practical example.