Robust Quantized Consensus of Multiagent Systems Under Disturbance and DoS Attacks

Abstract

External disturbances and denial-of-service (DoS) attacks pose significant challenges to the quantized control of multiagent systems (MASs). Most of the existing quantized control strategies primarily focus on designing scaling factors and constructing auxiliary systems without considering external disturbances. Note that these strategies require a highly accurate system model and will lead to the saturation of the quantizer if there exist external disturbances. To overcome the aforementioned shortcomings, a new scaling function is developed in this article by incorporating robustness factors into the scaling function design, significantly enhancing the robustness of the quantization mechanism. Based on this, a robust quantized control strategy is designed to achieve the bounded consensus of linear MASs in the presence of disturbance and DoS attacks, where the tradeoff among quantization level, consensus performance, and resilience to DoS attacks is explored. Besides, the robust design framework shows significant flexibility and efficiency in addressing the resilient control of nonlinear MASs subject to DoS attacks. Numerical simulations are provided to validate the theoretical results.