Imperial College London
Alternate

ProfessorBenoitChachuat

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
//

Contact

 

b.chachuat Website

 
 
//

Location

 

609Roderic Hill BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Paulen:2021:10.1016/j.ifacol.2020.12.555,
author = {Paulen, R and Gomoescu, L and Chachuat, B},
doi = {10.1016/j.ifacol.2020.12.555},
pages = {7228--7233},
publisher = {Elsevier},
title = {Nested sampling approach to set-membership estimation},
url = {http://dx.doi.org/10.1016/j.ifacol.2020.12.555},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This paper is concerned with set-membership estimation in nonlinear dynamic systems. The problem entails characterizing the set of all possible parameter values such that given predicted outputs match their corresponding measurements within prescribed error bounds. Most existing methods to tackle this problem rely on outer-approximation techniques, which perform poorly when the parameter host set is large due to the curse of dimensionality. An adaptation of nested sampling—a Monte Carlo technique introduced to compute Bayesian evidence—is presented herein. The nested sampling algorithm leverages efficient strategies from Bayesian statistics for generating an inner-approximation of the desired parameter set. Several case studies are presented to demonstrate the approach.
AU  - Paulen,R
AU  - Gomoescu,L
AU  - Chachuat,B
DO  - 10.1016/j.ifacol.2020.12.555
EP  - 7233
PB  - Elsevier
PY  - 2021///
SN  - 2405-8963
SP  - 7228
TI  - Nested sampling approach to set-membership estimation
UR  - http://dx.doi.org/10.1016/j.ifacol.2020.12.555
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000652593000450&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S2405896320308545?via%3Dihub
UR  - http://hdl.handle.net/10044/1/94207
ER  -
Download