动态诊断以混杂系统理论和多智能体理论为主要的理论基础，并遵循动态分析策略。
Dynamic diagnosis is based on hybrid system and multiagent, and follows dynamic analysis strategies.
本文基于多智能体系统理论，研究了多智能体机器人系统的底层实时调度问题。
This paper will study under layered real-time scheduling problem, which is based on the theory of MAS (Multi-agent System).
由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。
Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.
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