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{Li:2020:10.1109/TAC.2019.2953146,
author = {Li, P and Boem, F and Pin, G and Parisini, T},
doi = {10.1109/TAC.2019.2953146},
journal = {IEEE Transactions on Automatic Control},
pages = {3053--3059},
title = {Kernel-based simultaneous parameter-state estimation for continuous-time systems},
url = {http://dx.doi.org/10.1109/TAC.2019.2953146},
volume = {65},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In this note, the problem of jointly estimating thestate and the parameters of continuous-time systems is addressed.Making use of suitably designed Volterra integral operators,the proposed estimator does not need the availability of time-derivatives of the measurable signals and the dependence ontheunknown initial conditions is removed. As a result, the estimatesconverge to the true values in arbitrarily short time in noise-freescenario. In the presence of bounded measurement and processdisturbances, the estimation error is shown to be bounded. Thenumerical implementation aspects are dealt with and extensivesimulation results are provides showing the effectivenessof theestimator.
AU  - Li,P
AU  - Boem,F
AU  - Pin,G
AU  - Parisini,T
DO  - 10.1109/TAC.2019.2953146
EP  - 3059
PY  - 2020///
SN  - 0018-9286
SP  - 3053
TI  - Kernel-based simultaneous parameter-state estimation for continuous-time systems
T2  - IEEE Transactions on Automatic Control
UR  - http://dx.doi.org/10.1109/TAC.2019.2953146
UR  - http://hdl.handle.net/10044/1/74541
VL  - 65
ER  -
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