On the tightest interval-valued state estimator for linear systems
Systems and Control
2022-05-18 v4
Abstract
This paper discusses an interval-valued state estimator for linear dynamic systems. In particular, we derive an expression of the tightest possible interval-valued estimator in the sense that it is the intersection of all interval-valued estimators. This estimator appears, in a general setting, to be an infinite dimensional dynamic system. Therefore, practical implementation requires some over-approximations which would yield a good trade-off between computational complexity and tightness.
Cite
@article{arxiv.1805.04182,
title = {On the tightest interval-valued state estimator for linear systems},
author = {Laurent Bako and Vincent Andrieu},
journal= {arXiv preprint arXiv:1805.04182},
year = {2022}
}
Comments
7 pages, 4 figures