Observer-Based Adaptive Synchronization of Multiagent Systems With Unknown Parameters Under Attacks.

abstract

• This article studies the observer-based adaptive synchronization of multiagent systems (MASs) with unknown parameters under attacks. First, to estimate the state of agents, the observer for MAS is introduced. When disturbance, nonlinear function, and system model uncertainty are not considered, the nominal controller is proposed to achieve synchronization and state estimation. Then, in order to eliminate the effect of unknown parameters in the disturbance, nonlinear function, and system model uncertainty, the adaptive controller with switching term is introduced. However, the attack will lead to the destruction of the network topology so as the destruction of the nominal controller. By constructing an appropriate Lyapunov function, we analyze the effect caused by attacks, and the security control law is given to make sure the synchronization of the MASs under attacks. Finally, a numerical simulation is given to verify the validness of the obtained theorem.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Neural Netw Learn Syst

author list (cited authors)

• Wen, S., Ni, X., Wang, H., Zhu, S., Shi, K., & Huang, T.

citation count

• 14

complete list of authors

• Wen, Shiping||Ni, Xiaoze||Wang, Huamin||Zhu, Song||Shi, Kaibo||Huang, Tingwen

publication date

• July 2022

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Neural Networks and Learning Systems  Journal

keywords

• Adaptive Control
• Communication Networks
• Cyberattack
• Multiagent System (mas)
• Network Topology
• Observers
• Symmetric Matrices
• Synchronization
• Topology
• Uncertainty
• Unknown Parameter

PubMed Central ID

• 33513114

Digital Object Identifier (DOI)

• 10.1109/TNNLS.2021.3051017

start page

• 3109

end page

• 3119

volume

• 33

issue

• 7

URL

• http://dx.doi.org/10.1109/tnnls.2021.3051017