Imperial College London
Alternate

DrFrancescaBoem

Faculty of Engineering, Department of Electrical and Electronic Engineering

Honorary Lecturer
 
 
 
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Contact

 

f.boem Website

 
 
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Location

 

1108Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Boem:2019:10.1016/j.jfranklin.2017.11.028,
author = {Boem, F and Sabattini, L and Secchi, C},
doi = {10.1016/j.jfranklin.2017.11.028},
journal = {Journal of The Franklin Institute},
pages = {860--882},
title = {Decentralized state estimation for the control of network systems},
url = {http://dx.doi.org/10.1016/j.jfranklin.2017.11.028},
volume = {356},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The paper proposes a decentralized state estimation method for the control of network systems, where a cooperative objective has to be achieved. The nodes of the network are partitioned into independent nodes, providing the control inputs, and dependent nodes, controlled by local interaction laws. The proposed state estimation algorithm allows the independent nodes to estimate the state of the dependent nodes in a completely decentralized way. To do that, it is necessary for each independent node of the network to estimate the control input components computed by the other independent nodes, without requiring communication among the independent nodes. The decentralized state estimator, including an input estimator, is developed and the convergence properties are studied. Simulation results show the effectiveness of the proposed approach.
AU  - Boem,F
AU  - Sabattini,L
AU  - Secchi,C
DO  - 10.1016/j.jfranklin.2017.11.028
EP  - 882
PY  - 2019///
SN  - 0016-0032
SP  - 860
TI  - Decentralized state estimation for the control of network systems
T2  - Journal of The Franklin Institute
UR  - http://dx.doi.org/10.1016/j.jfranklin.2017.11.028
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000456434000009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/70539
VL  - 356
ER  -
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