On Resilient Control of Nonlinear Systems under Denial-of-Service

Abstract

We analyze and design a control strategy for nonlinear systems under Denial-of-Service attacks. Based on an ISS-Lyapunov function analysis, we provide a characterization of the maximal percentage of time during which feedback information can be lost without resulting in the instability of the system. Motivated by the presence of a digital channel we consider event-based controllers for which a minimal inter-sampling time is explicitly characterized.

7 pages, 1 figure

Cited by in corpus (2)

• Towards Stabilization of Distributed Systems under Denial-of-Service
• Networked Systems under Denial-of-Service: Co-located vs. Remote Control Architectures