@inproceedings{c65da50b088642699e9407c518b7f4cc,
title = "Improved Proportional-Integral Observer-Based Fault-Tolerant Control for MASs Against Unbounded FDIA",
abstract = "An improved proportional-integral observer (PIO) based fault-tolerant control problem is addressed for multi-agent systems (MASs) with disturbance under unbounded false data injection attack (FDIA) over an undirected graph. The FDIAs are modeled as a class of unbounded attack signals. Notably, an augmented descriptor system is formulated by letting the FDIA be an auxiliary state vector. Then, an improved PIO is constructed to achieve the estimation of process faults and FDIA simultaneously. A compensation term is incorporated into the PIO to attenuate the effects of external disturbances and thus improving the accuracy of the PIO. Besides, an improved PIO-based fault-tolerant secure control scheme against unbounded FDIA is developed to achieve consensus even in the presence of process faults. Finally, the effectiveness and advantages of the proposed control strategy is verified through a simulation result.",
author = "Wang, {Bo Qun} and Guo, {Xiang Gui} and Wang, {Jian Liang} and Ding, {Da Wei} and Heng Wang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 62nd IEEE Conference on Decision and Control, CDC 2023 ; Conference date: 13-12-2023 Through 15-12-2023",
year = "2023",
doi = "10.1109/CDC49753.2023.10384270",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5845--5850",
booktitle = "2023 62nd IEEE Conference on Decision and Control, CDC 2023",
address = "United States",
}