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DC Field | Value | Language |
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dc.contributor.author | Shen, B | - |
dc.contributor.author | Wang, Z | - |
dc.contributor.author | Hung, Y | - |
dc.date.accessioned | 2011-01-31T09:56:12Z | - |
dc.date.available | 2011-01-31T09:56:12Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Automatica, 46(10): 1682-1688, Oct 2010 | en_US |
dc.identifier.issn | 0005-1098 | - |
dc.identifier.uri | http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V21-50GTRD8-2&_user=545641&_coverDate=10%2F31%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1623183762&_rerunOrigin=google&_acct=C000027918&_version=1&_urlVersion=0&_userid=545641&md5=fbdc7c4d9ee81e923861721bd383529e&searchtype=a | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/4703 | - |
dc.description | The official published version of the article can be found at the link below. | en_US |
dc.description.abstract | This paper is concerned with a new distributed H∞-consensus filtering problem over a finite-horizon for sensor networks with multiple missing measurements. The so-called H∞-consensus performance requirement is defined to quantify bounded consensus regarding the filtering errors (agreements) over a finite-horizon. A set of random variables are utilized to model the probabilistic information missing phenomena occurring in the channels from the system to the sensors. A sufficient condition is first established in terms of a set of difference linear matrix inequalities (DLMIs) under which the expected H∞-consensus performance constraint is guaranteed. Given the measurements and estimates of the system state and its neighbors, the filter parameters are then explicitly parameterized by means of the solutions to a certain set of DLMIs that can be computed recursively. Subsequently, two kinds of robust distributed H∞-consensus filters are designed for the system with norm-bounded uncertainties and polytopic uncertainties. Finally, two numerical simulation examples are used to demonstrate the effectiveness of the proposed distributed filters design scheme. | en_US |
dc.description.sponsorship | This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) of the UK under Grant GR/S27658/01, the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Sensor networks | en_US |
dc.subject | Distributed H∞-consensus filtering | en_US |
dc.subject | Discrete time-varying systems | en_US |
dc.subject | Difference linear matrix inequalities | en_US |
dc.subject | Finite-horizon | en_US |
dc.subject | Data missing | en_US |
dc.title | Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case | en_US |
dc.type | Research Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.automatica.2010.06.025 | - |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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