Fault detection of networked dynamical systems: a survey of trends and techniques-Reference-Cited by-同舟云学术

Fault detection of networked dynamical systems: a survey of trends and techniques

Published:2021-11-12 Issue:16 Volume:52 Page:3390-3409
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Ju Yamei¹,Tian Xin²,Liu Hongjian³,Ma Lifeng⁴^ORCID

Affiliation:

1. Key Lab of Modern Optical System, Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China

2. College of Science, University of Shanghai for Science and Technology, Shanghai, People's Republic of China

3. School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, People's Republic of China

4. School of Automation, Nanjing University of Science and Technology, Nanjing, People's Republic of China

Funder

Natural Science Foundation of Anhui Province

AHPU Youth Top-Notch Talent

AHPU High-End equipment Intelligent Control Innovation Team

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2021.1998722

Reference147 articles.

1. Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework

2. A Cognitive Fault Diagnosis System for Distributed Sensor Networks

3. Observer-Based Decentralized Fault Detection and Isolation Strategy for Networked Multirobot Systems

4. Fault detection and isolation using relative information for multi-agent systems

5. Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems With Stochastic Uncertainties

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