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Related Experiment Video

Updated: Nov 18, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Fault detection and isolation using relative information for multi-agent systems.

Yuqi Bai1, Jinzhi Wang1

  • 1State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China.

ISA Transactions
|February 5, 2021
PubMed
Summary

This study introduces a new fault detection and isolation strategy for multi-agent systems using an unknown input observer. The method effectively identifies and isolates faulty agents using relative information and a distributed approach.

Keywords:
Fault detection and isolationMulti-agent systemRelative informationUnknown input observer

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Area of Science:

  • Control Systems Engineering
  • Distributed Systems
  • Robotics

Background:

  • Multi-agent systems are susceptible to faults that can compromise their performance.
  • Existing fault detection methods may lack efficiency or require centralized processing.

Purpose of the Study:

  • To develop an innovative fault detection and isolation (FDI) strategy for multi-agent systems.
  • To design an FDI method that utilizes relative information and a distributed implementation.

Main Methods:

  • An unknown input observer-based strategy was designed for fault detection and isolation.
  • A threshold logic and algorithm were developed for fault identification and localization.
  • A distributed implementation was proposed to reduce observer dimensions and simplify design.

Main Results:

  • The proposed observer can be constructed using only relative information under specific existence conditions.
  • The threshold logic effectively detects and isolates the agent experiencing a fault.
  • Simulations demonstrated the theoretical results' validity for practical applications.

Conclusions:

  • The novel FDI strategy is effective for multi-agent systems.
  • The distributed implementation offers advantages in terms of reduced complexity and observer dimensions.
  • The method provides a robust solution for ensuring the reliability of multi-agent systems.