English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/166628
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Distributed zonotopic set-membership state estimation based on optimization methods with partial projection

AuthorsWang, Ye ; Alamo, Teodoro; Puig, Vicenç ; Cembrano, Gabriela
KeywordsUrban drainage networks
Large-scale systems
Distributed set-membership approach
State estimation
Partial projection method
Issue Date2017
CitationIFAC papers online 50(1): 4039-4044 (2017)
AbstractA distributed set-membership approach is proposed for the state estimation of large-scale systems. The uncertain system states are bounded in a sequence of the distributed set-membership estimators considering unknown-but-bounded system disturbances and measurement noise. In the framework of the set-membership approach, the measurement consistency test is implemented by finding parameterized intersection zonotopes. The size of the intersection zonotope is minimized by solving an optimization problem including a sequence of linear/bilinear matrix inequalities based on the weighted 2-norm criterion of the generator matrix. Meanwhile, for the distributed set-membership estimators, the partial projection method is considered to correct the estimation of the neighbor state. On the other hand, an on-line method is also provided. Finally, the proposed distributed set-membership approach is verified in a case study based on a urban drainage network.
DescriptionTrabajo presentado al 20th IFAC (International Federation of Automatic Control) World Congress, celebrado en Toulouse (Francia) del 9 al 14 de julio de 2017.
Publisher version (URL)https://doi.org/10.1016/j.ifacol.2017.08.722
Identifiersdoi: 10.1016/j.ifacol.2017.08.722
issn: 1474-6670
Appears in Collections:(IRII) Artículos
Files in This Item:
File Description SizeFormat 
ZonotopicPartial.pdf438,77 kBAdobe PDFThumbnail
Show full item record
Review this work

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.