多智能体系统协同技术的相关研究是控制领域的前沿方向。它是由一定数量的自主个体通过相互合作和自组织，在集体层面呈现出有序的协同运动和行为。当前，我们主要采用事件驱动机制、控制理论、图论、博弈论、强化学习等方法研究多智能体系统的协同控制。

　　The related research of multi-agent systems coordination technology is the frontier of control field. Intuitively speaking, it consists of a certain number of autonomous individuals who, through mutual cooperation and self-organization, present an orderly coordinated movement and behavior at the collective level. Currently we are working on cooperative control of multi-agent systems using event-triggered mechanism, control theory, graph theory, game theory and reinforcement learning together.