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Non-Weighted L2-Gain Analysis for Synchronization of Switched Nonlinear Time-Delay Systems With Random Injection Attacks
- Source :
- Circuits and Systems I: Regular Papers, IEEE Transactions on; September 2023, Vol. 70 Issue: 9 p3759-3769, 11p
- Publication Year :
- 2023
-
Abstract
- The current paper is devoted to studying global asymptotic <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> drive-response synchronization for a kind of switched nonlinear time-delay systems with output random injection attacks (IAs). An attack-decomposition method is proposed to derive an attack-free signal, by which an observer is designed to estimate the state of the driving system. Then, two mode-dependent event-triggering mechanisms (MDETMs) are respectively designed for observer-controller (O-C) and controller-actuator (C-A) channels to save the communication resources as much as possible. In order to analyze the effects of the switching on the <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance, a mode-dependent discretized Lyapunov-Krasovskii functional (LKF) is developed, which has the merit of monotone decreasing on any time-interval and switching instants. Sufficient criteria are given to ensure the <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> synchronization with non-weighted <inline-formula> <tex-math notation="LaTeX">$\mathcal {L}_{2}$ </tex-math></inline-formula>-gain, whether the attack is related to the output or not. Numerical simulations are provided to verify the non-weighted <inline-formula> <tex-math notation="LaTeX">$\mathcal {L}_{2}$ </tex-math></inline-formula>-gain performance with low conservatism.
Details
- Language :
- English
- ISSN :
- 15498328 and 15580806
- Volume :
- 70
- Issue :
- 9
- Database :
- Supplemental Index
- Journal :
- Circuits and Systems I: Regular Papers, IEEE Transactions on
- Publication Type :
- Periodical
- Accession number :
- ejs63838068
- Full Text :
- https://doi.org/10.1109/TCSI.2023.3287180