计算机科学
指数增长
同步(交流)
代数图论
李雅普诺夫函数
指数函数
解耦(概率)
控制理论(社会学)
趋同(经济学)
代数数
事件(粒子物理)
控制器(灌溉)
收敛速度
图形
数学
理论计算机科学
控制(管理)
人工智能
控制工程
计算机网络
工程类
频道(广播)
数学分析
物理
非线性系统
经济
生物
经济增长
量子力学
农学
作者
Bo Zhou,Xiaofeng Liao,Tingwen Huang,Guo Chen
标识
DOI:10.1016/j.neucom.2015.01.018
摘要
Abstract In this paper, we consider the pinning exponential synchronization of complex networks via event-triggered communication. By using the combinational measurements, two classes of event triggers are designed, one depends on continuous communications between the agents, the other avoids the continuous communications. The controller updates when triggering function reaches certain threshold. For such classes of two event triggers, the exponential synchronization as well as the convergence rate of the controlled complex networks are studied, respectively, by employing the M-matrix theory, algebraic graph theory and the Lyapunov method. Two simulation examples are provided to illustrate the effectiveness of the proposed two classes of event triggering strategies. It is noteworthy that the event trigger with combinational measurements avoids decoupling the actual state of the nodes, which is more effective than the error-based event trigger.
科研通智能强力驱动
Strongly Powered by AbleSci AI