Robust Quantized Consensus of Multiagent Systems Under Disturbance and DoS Attacks

External disturbance and denial-of-service (DoS) attacks pose significant challenges to the quantized control of multi-agent systems (MAS). Most of the existing quantized control strategies primarily focus on the scaling factors design and auxiliary system construction without external disturbance. Note that, these strategies require highly accurate system model and will lead to the saturation of the quantizer if there exists external disturbance. To overcome the above shortcomings, a new scaling function is developed in this paper 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 MAS in the presence of disturbance and DoS attacks, where the trade-off 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 MAS subject to DoS attacks. Numerical simulations are provided to validate the theoretical results.