Distributed Dynamic Event-Triggered Control for Multi-Agent Systems With Quantization Communication

This brief concerns distributed practical consensus control for nonlinear MASs with quantization communication. Due to networked resource limitations and storage capacity restrictions, the exact information of their neighbors cannot be obtained by the agents. In this brief, it is supposed that the information exchanged between agents is quantized using a quantizer. By utilizing the open-loop estimation approach, an event-triggered control protocol is established, where the information communication with any connected neighbor is made discontinuously. To further reduce energy consumption, a dynamic event-triggered mechanism is designed, wherein a dynamic variable is assigned to each agent to dynamically govern its threshold. It is demonstrated that the presented control scheme can circumvent the Zeno behavior and the consensus control objective can be achieved. The validity of the theoretical analysis is manifested by the simulation results.