Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/10670
Title: | Event-triggered robust distributed state estimation for sensor networks with state-dependent noises |
Authors: | Dong, H Wang, Z Alsaadi, FE Ahmad, B |
Keywords: | Distributed state estimation;Randomly occurring uncertainties;Sensor networks;State-dependent noises |
Issue Date: | 2015 |
Publisher: | Taylor and Francis Ltd. |
Citation: | International Journal of General Systems, 44 (2): 254 - 266, 2015 |
Abstract: | This paper is concerned with the event-triggered distributed state estimation problem for a class of uncertain stochastic systems with state-dependent noises and randomly occurring uncertainties over sensor networks. An event-triggered communication scheme is proposed in order to determine whether the measurements on each sensor should be transmitted to the estimators or not. The norm-bounded uncertainty enters into the system in a random way. Through available output measurements from not only the individual sensor but also its neighbouring sensors, a sufficient condition is established for the desired distributed estimator to ensure that the estimation error dynamics are exponentially mean-square stable. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities, and then the explicit expression is given for the distributed estimator gains. Finally, a simulation example is provided to show the effectiveness of the proposed event-triggered distributed state estimation scheme. |
URI: | http://www.tandfonline.com/doi/abs/10.1080/03081079.2014.973726# http://bura.brunel.ac.uk/handle/2438/10670 |
DOI: | http://dx.doi.org/10.1080/03081079.2014.973726 |
ISSN: | 0308-1079 1563-5104 |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 113.42 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.