Please use this identifier to cite or link to this item: http://buratest.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

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