Kinematic Control of Serial Manipulators Under False Data Injection Attack

With advanced communication technologies, cyber-physical systems such as networked industrial control systems can be monitored and controlled by a remote control center via communication networks. While lots of benefits can be achieved with such a configuration, it also brings the concern of cyber a...

Full description

Saved in:
Bibliographic Details
Published inIEEE/CAA journal of automatica sinica Vol. 10; no. 4; pp. 1009 - 1019
Main Authors Zhang, Yinyan, Li, Shuai
Format Journal Article
LanguageEnglish
Published Piscataway Chinese Association of Automation (CAA) 01.04.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
College of Cyber Security,Jinan University,Guangzhou,China%College of Engineering,Swansea University,Swansea,United Kingdom
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:With advanced communication technologies, cyber-physical systems such as networked industrial control systems can be monitored and controlled by a remote control center via communication networks. While lots of benefits can be achieved with such a configuration, it also brings the concern of cyber attacks to the industrial control systems, such as networked manipulators that are widely adopted in industrial automation. For such systems, a false data injection attack on a control-center-to-manipulator (CC-M) communication channel is undesirable, and has negative effects on the manufacture quality. In this paper, we propose a resilient remote kinematic control method for serial manipulators undergoing a false data injection attack by leveraging the kinematic model. Theoretical analysis shows that the proposed method can guarantee asymptotic convergence of the regulation error to zero in the presence of a type of false data injection attack. The efficacy of the proposed method is validated via simulations.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2329-9266
2329-9274
DOI:10.1109/JAS.2023.123132