有界函数
估计员
计算机科学
国家(计算机科学)
班级(哲学)
芝诺悖论
事件(粒子物理)
分数(化学)
控制理论(社会学)
数学优化
算法
数学
物理
人工智能
控制(管理)
数学分析
量子力学
统计
有机化学
化学
几何学
作者
Yurong Liu,Zidong Wang,Yuan Yuan,Weibo Liu
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2017-07-18
卷期号:49 (6): 1088-1098
被引量:112
标识
DOI:10.1109/tsmc.2017.2720121
摘要
In this paper, the state estimation problem is investigated for a class of continuous-time complex networks with bounded distributed delay. For the network under consideration, only the outputs from a fraction of nodes are available and this put forward the new challenge, that is, the so-called partial-nodes-based state estimation problem. In order to reduce the usage of the communication resources, a general event-triggering rule is considered in the design of the estimator. A novel estimator is constructed and, by constructing novel Lyapunov-Krasovskii functionals, some easy-to-check conditions are derived such that the error dynamics is exponentially ultimately bounded. Furthermore, it is shown that the Zeno behavior can be excluded from the event-triggering rules. Numerical simulations are presented to further illustrate the effectiveness of the theoretical results.
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