Event-triggered state estimation for complex systems with randomly nonlinearities and time-varying delay

被引：0
作者：
机构：
[1] Department of Applied Mathematics, Nanjing University of Finance and Economics, Nanjing, 210046, Jiangsu
来源：
Tan, Yushun (tyshun994@163.com) | 1600年 / Springer Verlag卷 / 462期
关键词：
Complex networks; Event-triggered scheme; Randomly occurring; Time-varying delay;
D O I：
10.1007/978-3-662-45261-5_43
中图分类号：
学科分类号：
摘要：
The event-triggered state estimation is investigated for a class of complex networks system with randomly nonlinearities. A novel event-triggered scheme is proposed, which can reduce the information communication burden in the network. Considering the effect of transmission delay, a time-varying delayed system model is constructed. Attention of this paper is focused on the analysis and design of a reliable estimator for the complex networks through the available output measurements under event-triggered scheme. In order to design the state estimator, a Lyapunov functional approach and the linear matrix inequality technique are employed. A sufficient condition is obtained in which the estimator error dynamics is exponential asymptotically stable, and a state estimator of considered complex networks can be achieved by solving some linear matrix inequalities. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2014.
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页码：407 / 418
页数：11
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