Dynamic Resources Management Under Limited Communication Based on Multi-level Agent System
Zhigang Wang, Chilian Chen, Chubing Guo · 2023
Under the condition of limited communication, the message interaction between different platforms cannot meet the demand of realtime and integrality, which significantly reduces the task-execution efficiency. Aiming at making full use of all kinds of payloads resources in the dynamically changing environment, we use a multilevel agent system model to describe the control relationship between different types of platforms and payloads, and propose an improved contract net protocol to coordinate tasks that different platforms need to undertake and manage different payloads of a platform. The experiment results of the semi-physical simulation show that the proposed method can efficiently assign the required resources to the dynamic tasks while interacting with little information between different platforms.