Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks

TLDR

The paper addresses observer‑based event‑triggered control of continuous networked linear systems under periodic denial‑of‑service attacks that block data transmission. The study develops a resilient observer‑based event‑triggering scheme, constructs a corresponding event‑based switched system model, and provides linear matrix inequality criteria for controller design under DoS attacks. The authors employ a piecewise Lyapunov‑Krasovskii functional approach on the switched system to derive exponential stability conditions and validate the method on an offshore structure model. The results reveal a quantitative relationship linking DoS attack periods, event‑triggering parameters, sampling period, and exponential decay rate.

Abstract

This paper is concerned with the observer-based event-triggered control for a continuous networked linear system subject to denial-of-service (DoS) attacks, where the attacks are launched periodically to block the data transmission in control channels. First, a new observer state-based resilient event-triggering scheme is developed in the presence of DoS attacks. Second, a novel event-based switched system model is established by considering the effect of the event-triggering scheme and DoS attacks simultaneously. By virtue of this new model combined with a piecewise Lyapunov-Krasovskii functional method, the sufficient conditions are derived to guarantee exponential stability of the resulting switched system. It is shown that the proposed results can establish a quantitative relationship among the launching/sleeping periods of the attacks, the event-triggering parameters, the sampling period, and the exponential decay rate. Third, criteria for designing a desired observer-based event-triggered controller are provided and expressed in terms of a set of linear matrix inequalities. Finally, an offshore structure model is presented to illustrate the efficiency of the developed control method.