Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959541" target="_blank" >RIV/49777513:23520/20:43959541 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MFI49285.2020.9235227" target="_blank" >https://doi.org/10.1109/MFI49285.2020.9235227</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MFI49285.2020.9235227" target="_blank" >10.1109/MFI49285.2020.9235227</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of Confidence Sets for Estimation with Piecewise Linear Constraint
Original language description
Equality constrained estimation finds its application in problems like positioning of cars on roads. This paper compares two constructions of confidence sets. The first one is given by the intersection of a standard unconstrained confidence set and the constraint, the second one applies the constraint first and designs the confidence set later. Analytical results are presented for a linear constraint. A family of piecewise linear constraints is inspected numerically. It is shown that for the considered scenarios, the second construction with a properly tuned free parameter provides confidence sets that are smaller in the expectation.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GC20-06054J" target="_blank" >GC20-06054J: Intelligent Distributed Estimation Architectures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020)
ISBN
978-1-72816-422-9
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
146-151
Publisher name
IEEE
Place of publication
Karlsruhe
Event location
Karlsruhe, Německo
Event date
Sep 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—