Event-triggered consensus for multi-agent networks with switching topology under quantized communication

Abstract

The main purpose of this paper is to study average consensus problems in multi-agent networks with switching topologies under digital communication channels. A novel communication framework that can smoothly combine the quantization scheme and event-triggered strategy is developed, which apparently improves the communication efficiency of networks. In pursuit of saving the network resource and reducing the computational load of microprocessors embedded in all agents, a specifically designed distributed event-triggered strategy is proposed for well treatment with consensus problems in digital networks with switching topologies. Furthermore, we also prove that the average consensus of networks is asymptotically achieved, and the states evolution of all agents is well. Finally, some numerical simulations are given to illustrate the correctness of the theoretical results and the feasibility of presented protocols.