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System-Equation-Based Resilient Sampled-Data Control Design for Networked Control Systems Under DoS Attacks
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DOI：10.1109/tcns.2026.3690583.png)
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Abstract
En 中文
This article focuses on the design of resilient sampled-data controllers for networked control systems (NCSs) subject to denial-of-service (DoS) attacks. A logical processor is first introduced to model the DoS-affected NCS as an aperiodic sampled-data system, where the bounds of the sampling intervals directly capture the minimum and maximum DoS attack durations. Subsequently, a relaxed Lyapunov-Krasovskii functional (LKF) is constructed to enlarge the stability region and improve adaptability to the time-varying nature of attacks. Furthermore, a matrix-separation inequality is developed by incorporating system dynamics and the Bessel-Legendre inequality, enabling effective bounding of the functional derivatives. Based on the proposed LKF and the matrix-separation inequality, a resilient controller strategy is derived, significantly increasing the allowable attack duration while maintaining guaranteed stability. Finally, the superior performance of the proposed control strategy under sustained DoS attacks is demonstrated through a satellite control system, and its effectiveness is validated via an active quarter-vehicle suspension experimental platform.
Keywords:
Denial-of-service (DoS) attacks
Lyapunov –Krasovskii functional (LKF)
matrix-separation method
networked control systems
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