Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/6691
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ding, D | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Dong, H | - |
dc.contributor.author | Shu, H | - |
dc.date.accessioned | 2012-09-21T08:43:33Z | - |
dc.date.available | 2012-09-21T08:43:33Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Automatica, 48(8): 1575 - 1585, Aug 2012 | en_US |
dc.identifier.issn | 0005-1098 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0005109812002439 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/6691 | - |
dc.description | This is the post-print version of the final paper published in Automatica. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V. | en_US |
dc.description.abstract | This paper deals with the distributed H∞ state estimation problem for a class of discrete time-varying nonlinear systems with both stochastic parameters and stochastic nonlinearities. The system measurements are collected through sensor networks with sensors distributed according to a given topology. The purpose of the addressed problem is to design a set of time-varying estimators such that the average estimation performance of the networked sensors is guaranteed over a given finite-horizon. Through available output measurements from not only the individual sensor but also its neighboring sensors, a necessary and sufficient condition is established to achieve the H∞ performance constraint, and then the estimator design scheme is proposed via a certain H2-type criterion. The desired estimator parameters can be obtained by solving coupled backward recursive Riccati difference equations (RDEs). A numerical simulation example is provided to demonstrate the effectiveness and applicability of the proposed estimator design approach. | en_US |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC), the Royal Society of the U.K., the National Natural Science Foundation of China, the Natural Science Foundation of Universities in Anhui Province, and the Alexander von Humboldt Foundation of Germany. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Discrete time-varying systems | en_US |
dc.subject | Distributed H∞ state estimation | en_US |
dc.subject | Recursive Riccati difference equations | en_US |
dc.subject | Sensor networks | en_US |
dc.subject | Stochastic nonlinearities | en_US |
dc.subject | Stochastic parameters | en_US |
dc.title | Distributed H∞ state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.automatica.2012.05.070 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Active Staff | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Fulltext.pdf | 238.9 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.