The present invention relates to the technical field of multi-agent
system cluster control, and specifically provides a distributed multi-agent cluster task
collaborative management system based on a hierarchical encapsulation mechanism, which is intended to solve the behavior pattern design,
task management and function planning problems of large-scale heterogeneous multi-agent clusters. The
system consists of a task scheduling module, a
data management module, a task construction module, and a task
collaboration module; the task and function system is constructed through four levels of
program plan (P), task chain (C), task (M), and task unit (F); and the tree topology structure and the graphic topology structure are used at the same time to organize the task function and scheduling logic at different task construction levels; and the autonomous scheduling and self-organization
collaboration of the cluster function are realized through the bottom task unit
and logic unit module. The scheme proposed by the present invention realizes the encapsulation of cluster functions at different levels, which is conducive to the reuse, combination and large-scale expansion of cluster functions, allowing people in the loop to control the cluster in real time, and has intuitiveness, autonomy,
operability,
scalability and ease of use.