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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/6194

Title: Distributed state estimation for uncertain Markov-type sensor networks with mode-dependent distributed delays
Authors: Liang, J
Wang, Z
Liu, X
Keywords: Distributed state estimation
Sensor network
Parameter uncertainties
Markovian chain
Mode-dependent distributed delays
Publication Date: 2012
Publisher: John Wiley & Sons
Citation: International Journal of Robust and Nonlinear Control, 22(3): 331 - 346, Feb 2012
Abstract: In this paper, the distributed state estimation problem is investigated for a class of sensor networks described by uncertain discrete-time dynamical systems with Markovian jumping parameters and distributed time-delays. The sensor network consists of sensor nodes characterized by a directed graph with a nonnegative adjacency matrix that specifies the interconnection topology (or the distribution in the space) of the network. Both the parameters of the target plant and the sensor measurements are subject to the switches from one mode to another at different times according to a Markov chain. The parameter uncertainties are norm-bounded that enter into both the plant system as well as the network outputs. Furthermore, the distributed time-delays are considered, which are also dependent on the Markovian jumping mode. Through the measurements from a small fraction of the sensors, this paper aims to design state estimators that allow the nodes of the sensor network to track the states of the plant in a distributed way. It is verified that such state estimators do exist if a set of matrix inequalities is solvable. A numerical example is provided to demonstrate the effectiveness of the designed distributed state estimators.
Description: This the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2012 John Wiley & Sons, Ltd.
Sponsorship: This work was supported in part by the Royal Society of the U.K., the National Natural Science Foundation of China under Grants 60804028 and 61028008, the Specialized Research Fund for the Doctoral Program of Higher Education for New Teachers in China under Grant 200802861044, the Teaching and Research Fund for Excellent Young Teachers at Southeast University of China, the International Science and Technology Cooperation Project of China under Grant No. 2009DFA32050, and the Alexander von Humboldt Foundation of Germany.
URI: http://onlinelibrary.wiley.com/doi/10.1002/rnc.1699/abstract
http://bura.brunel.ac.uk/handle/2438/6194
DOI: http://dx.doi.org/10.1002/rnc.1699
ISSN: 1049-8923
Appears in Collections:School of Information Systems, Computing and Mathematics Research Papers
Publications
Computer Science

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