动态拓扑多智能体系统的群体行为分析及其在列车群中的应用

项目名称： 动态拓扑多智能体系统的群体行为分析及其在列车群中的应用

项目编号： No.61304157

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 陈姚

作者单位： 北京交通大学

项目金额： 25万元

中文摘要： 复杂系统是面向国家重大战略需求的重要基础研究领域。多智能体系统是一类典型的复杂系统，对其群体行为的研究将对理解复杂性的起源起到极为积极的促进作用。由于多智能体系统所处环境的动态特性，其组成个体之间所构成的拓扑结构也往往呈现动态时变的特征，如何在动态拓扑的条件下研究多智能体系统的群体行为是一个极富意义且具有挑战性的问题。虽然传统的光滑Lyapunov函数在处理带有固定拓扑的多智能体系统时具有很大的方便，但却很难延伸到具有一般动态拓扑的多智能体系统，尤其是非平衡拓扑和有向切换拓扑的分析上来。本课题针对以上问题，以非光滑Lyapunov函数作为分析工具，研究具有动态拓扑的多智能体系统的群体行为，发展动态拓扑条件下多智能体系统分析的一般理论。除此之外，作为以上理论的应用，以列车群的协同控制为研究背景，探讨在不确定通讯的条件下，以保障列车行车安全和提升列车运行性能为目的的列车群协同控制方法。

中文关键词： 多智能体系统；切换拓扑；列车运行控制；；

英文摘要： Complex Systems (CS) is an important basic research field which meets the major national strategic needs. Multi-Agent System (MAS) is a typical class of CS, the study on the collective behavior of MAS will play a very positive role in understanding the origin of complexity. Due to the dynamical character of the environment in which an MAS is involved, the topology among the agents usually demonstrates the dynamical and time-varying properties, hence how to study the collective behavior of MAS with dynamical topology is a very interesting and challenging problem. Though the traditional smooth Lyapunov function method can easily handle MAS with fixed topology, it is rather difficult to extend this method to the analysis of MAS with general topology, especially non-balancing and directed switching topology. This project aims at the above problem and takes non-smooth Lyapunov function as an effective tool to investigate the collective behavior of MAS with dynamical topology; furthermore, a general theory of MAS with dynamical topology will also be developed. Besides that, as a real application of the above proposed theory, this project will concentrates on coordination control of trains group under the condition of uncertain communication, designing the coordinating control law for trains group in order to guarantee

英文关键词： multi-agent systems；switching topology；train operation control；；