Please use this identifier to cite or link to this item:
Title: Event-based state estimation for a class of complex networks with time-varying delays: A comparison principle approach
Authors: Zhang, W
Wang, Z
Liu, Y
Ding, D
Alsaadi, FE
Keywords: Event-triggering;State estimation;Complex networks;Comparison principle;Time-varying delays
Issue Date: 2017
Citation: Physics Letters, Section A: General, Atomic and Solid State Physics, 381 (1): pp. 10 - 18,(2017)
Abstract: The paper is concerned with the state estimation problem for a class of time-delayed complex networks with event-triggering communication protocol. A novel event generator function, which is dependent not only on the measurement output but also on a predefined positive constant, is proposed with hope to reduce the communication burden. A new concept of exponentially ultimate boundedness is provided to quantify the estimation performance. By means of the comparison principle, some sufficient conditions are obtained to guarantee that the estimation error is exponentially ultimately bounded, and then the estimator gains are obtained in terms of the solution of certain matrix inequalities. Furthermore, a rigorous proof is proposed to show that the designed triggering condition is free of the Zeno behavior. Finally, a numerical example is given to illustrate the effectiveness of the proposed event-based estimator.
ISSN: 0375-9601
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf514.39 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.