Dynamic Prescribed Group Consensus of Nonlinear Multi-Agent Networks Based on Merging Mechanism, Hierarchical Architecture, and Impulsive Control

This paper mainly studies the dynamic prescribed group consensus of nonlinear multi-agent networks. Firstly, a merging mechanism is introduced to simulate dynamic merging of different agent groups into the network. Secondly, a hierarchical architecture is adopted to lay the foundation for the establishment of multi-agent network dynamics, and the hierarchical architecture includes virtual layer and real layer, which has the advantages of high practicality. Thirdly, a impulsive control protocol is designed to achieve the dynamic prescribed group consensus control of multi-agent networks, which has the advantage of high efficiency. Finally, the practicality and efficiency of the proposed theories are verified through a series of simulation experiments.