Abstract
In the context of control and estimation under information constraints, restoration entropy measures the minimal required data rate above which the state of a system can be estimated so that the estimation quality does not degrade over time and, conversely, can be improved. The remote observer here is assumed to receive its data through a communication channel of finite bit-rate capacity. In this paper, we provide a new characterization of the restoration entropy which does not require to compute any temporal limit, i.e., an asymptotic quantity. Our new formula is based on the idea of finding a specific Riemannian metric on the state space which makes the metric-dependent upper estimate of the restoration entropy as tight as one wishes. (C) 2021 The Authors. Published by Elsevier Ltd.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
ISSN: | 0005-1098 |
Sprache: | Englisch |
Dokumenten ID: | 99456 |
Datum der Veröffentlichung auf Open Access LMU: | 05. Jun. 2023, 15:31 |
Letzte Änderungen: | 05. Jun. 2023, 15:31 |