项目名称: 基于事件驱动的不完整信息耦合复杂网络群集动力学研究
项目编号: No.61503115
项目类型: 青年科学基金项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 李露露
作者单位: 合肥工业大学
项目金额: 20万元
中文摘要: 对复杂网络中的群集行为的刻画和研究是非线性科学领域中的一个重要研究课题。在真实的网络环境中,由于节点在信息传输时通常要受到能量的约束,节点间很难做到每时每刻的通信。而且每个节点从邻居节点接收到的信息往往要受到多种外界因素的影响,比如延时,带宽限制以及丢包。基于这样的考虑,本项目主要围绕基于事件驱动的不完整信息耦合复杂网络群集动力学进行研究。重点研究基于事件驱动的复杂网络的同步与一致性过程:通过设计适当的事件驱动条件,探寻这类网络发生同步和一致性的内在机理,确定影响网络同步和一致性的关键因素。本项目前期研究已取得重要进展,其最终研究成果有望建立一套较完整的基于事件驱动的复杂网络群集动力学的理论体系,形成具有创新性的科学研究方法,深化了对复杂网络与复杂系统的理解。
中文关键词: 同步与一致性;复杂网络;集群动力学;事件驱动;神经网络
英文摘要: An important goal of studying nonlinear system is to understand how collective behavior emerges in complex networks. In many realistic complex networks, it is hard for the nodes to transmit the information due to the energy restriction. Furthermore, information flow between two neighboring nodes is generally affected by many uncertain factors including the limited communication capacity, network induced time delays, data drop-out, and so on. Therefore, in this project, we shall concentrate on the collective behaviors of complex networks coupled by incomplete information under the event-triggered message passing. By setting certain event-triggered conditions, the determining factors of synchronization and consensus of proposed network model can be discovered. Some meaningful achievements have been obtained in early stages of this project, and the final goal of this project is expected to build a systematic theory of collective behavior of complex networks under event-triggered massage passing; to refine the creative research methods in this area; and to enrich our knowledge of the complex networks and complex systems.
英文关键词: Synchronization and consensus;Complex networks;Collective behaviors;Event-triggered;Neural networks