复杂异质智能网络的同步行为分析与可控性研究

项目名称： 复杂异质智能网络的同步行为分析与可控性研究

项目编号： No.61473016

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 王磊

作者单位： 北京航空航天大学

项目金额： 80万元

中文摘要： 复杂网络的同步研究和多智能体系统的一致性控制分属自然科学和技术科学领域的研究热点问题。考虑到这两方面研究在数学描述下有共通和可借鉴之处，本项目拟在复杂智能网络的框架下统一地开展复杂网络的同步和多智能体系统的一致性控制研究，重点研究具有异质非线性动力学特性个体的复杂智能网络集体行为分析与控制问题，研究内容包括：（1）非线性异质网络系统的可一致性研究；（2）一类非线性异质网络的有界同步研究；（3）典型异质网络系统的局部可控性研究。借此研究内容揭示出网络集体涌现的同步行为与智能体个体的异质性、动态非线性、通信中的间断、不连续和随机连接丢失、噪声等间的内在关系，并为典型智能网络系统提供局部可控分析的理论框架。此课题不仅能丰富网络化协同控制相关理论，促进相关技术交叉研究，也为复杂系统设计提供理论和方法，具有重要的理论意义和应用价值。

中文关键词： 同步；一致性控制；异质性；复杂网络；多智能体系统

英文摘要： Synchronization of complex networks and consensus formation of multi-agent systems have indeed attracted enormous research interest in natrual and technical sciences.The mathematical framework for describing synchronization and consensus is similar, and thus the aim of this project is to provide the investiations in which synchronization and consensus are presented jointly in the framework of complex agent network, focusing on nonlinear dynamics of heterogeneous individuals.. The details of this project include:(1) consensus analysis of complex agent network with nonlinear heterogeneous dynamics;(2)discussion on bounded synchronization of a class heterogeneous agent network;(3)local controllability of typical complex agent networks. Based on these, it is to reveal the intrinsic relations between the emergencing synchronization of complex agent networks and many factors including the heterogeneity and nonlinear dynamics of agents,the intermittent,discontinuous and randomly lost connections in noisy communication etc. It will also to provide a theoretical framework for the analysis of local control for complex heterogeneous agent networks.This project can not only enrich the theory of networked cooperative control, promote the related technologies of multi- disciplinary study, also provide theory and methods for the design of complex systems, which has great theoretical significane and application value.

英文关键词： synchronization;consensus control;heterogeneity;complex networks;multi-agent systems