Dynamic Quantized Event-Triggered Predictive Control for Networked Control Systems With DoS Attacks: A Hybrid System Approach

Abstract

This article investigates a dynamic quantized event-triggered predictive control policy to stabilize a linear system with denial-of-service attacks. First, to address the challenges of quantization errors and DoS attacks, a co-design approach integrating event-triggered control and predictive control is proposed to ensure the stability of networked control systems. Second, a novel model framework is developed, which combines a dynamic quantizer with asynchronous event-triggered control mechanisms for practical implementation. Subsequently, a new hybrid system framework is adopted for modeling closed-loop dynamics. Using Lyapunov theory, the input-to-state stability of the closed-loop system is guaranteed through derived sufficient conditions with constrains of quantization parameters and event-triggered mechanisms. Finally, the presented example validates the effectiveness of the transmission policy proposed in this article.