1. Adaptive consensus of uncertain switched nonlinear multi-agent systems under sensor deception attacks.
- Author
-
Ma, Yajing, Li, Zhanjie, Xie, Xiangpeng, and Yue, Dong
- Subjects
- *
MULTIAGENT systems , *NONLINEAR systems , *DECEPTION , *UNCERTAIN systems , *DETECTORS , *LYAPUNOV functions - Abstract
This paper addresses the consensus issue for a class of uncertain switched nonlinear multi-agent systems subject to unknown system parameters and sensor deception attacks. The actual data information is corrupted by attacks and cannot be used for the feedback control. To tackle the attacks, a set of novel auxiliary variables are introduced for the iterative design by the corrupted data. By considering the common effect of all the switching dynamics, the inherent interaction effects caused by unknown parameters, unpredictable switching and sensor deception attacks are transferred to two induced parameters. We then propose two adaptive laws to compensate the induced parameters. By constructing a common Lyapunov function, an adaptive consensus protocol is developed, under which the asymptotic output consensus of the considered uncertain systems is guaranteed regardless of deception attacks and arbitrary switching. An example is provided to illustrate the effectiveness of the established protocol. • A secure protocol is proposed for switched MASs under attacks. • Auxiliary variables are introduced by the corrupted data to tackle the attacks. • The interaction among uncertainties are transferred to two induced parameters. • The system complexity is immensely reduced. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF