Sampling-Based Distributed Control for Quantized Consensus Tracking Under Denial-of-Service Attacks

In this paper, the quantized consensus tracking problem for continuous-time multi-agent systems (MASs) under denial-of-service (DoS) attacks is studied. Based on the dynamical quantized strategy, a sampling-based control protocol is developed, which is suitable for the high-order MASs under the general directed communication topology with limited bandwidth. To resist the DoS attacks, the scaling function is designed with a zooming-in and zooming-out approach. Sufficient conditions for consensus tracking problem under DoS attacks are provided, and the quantizer is unsaturated under the specified quantization level. Finally, simulation examples are provided to validate the theoretical results.