Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1393-1398 |
| Seitenumfang | 6 |
| Fachzeitschrift | IEEE Control Systems Letters |
| Jahrgang | 9 |
| Frühes Online-Datum | 23 Juni 2025 |
| Publikationsstatus | Veröffentlicht - 11 Juli 2025 |
Abstract
Sample-based observability characterizes the ability to reconstruct the internal state of a dynamical system by using limited output information, i.e., when measurements are only infrequently and/or irregularly available. In this letter, we investigate the concept of functional observability, which refers to the ability to infer a function of the system state from the outputs, within a sample-based framework. Here, we give necessary and sufficient conditions for a system to be sample-based functionally observable, and formulate conditions on the sampling schemes such that these are satisfied. Furthermore, we provide a numerical example, where we demonstrate the applicability of the obtained results.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Mathematik (insg.)
- Steuerung und Optimierung
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in: IEEE Control Systems Letters, Jahrgang 9, 11.07.2025, S. 1393-1398.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - On Sample-Based Functional Observability of Linear Systems
AU - Krauss, Isabelle
AU - Lopez, Victor G.
AU - MÜller, Matthias A.
N1 - Publisher Copyright: © 2017 IEEE.
PY - 2025/7/11
Y1 - 2025/7/11
N2 - Sample-based observability characterizes the ability to reconstruct the internal state of a dynamical system by using limited output information, i.e., when measurements are only infrequently and/or irregularly available. In this letter, we investigate the concept of functional observability, which refers to the ability to infer a function of the system state from the outputs, within a sample-based framework. Here, we give necessary and sufficient conditions for a system to be sample-based functionally observable, and formulate conditions on the sampling schemes such that these are satisfied. Furthermore, we provide a numerical example, where we demonstrate the applicability of the obtained results.
AB - Sample-based observability characterizes the ability to reconstruct the internal state of a dynamical system by using limited output information, i.e., when measurements are only infrequently and/or irregularly available. In this letter, we investigate the concept of functional observability, which refers to the ability to infer a function of the system state from the outputs, within a sample-based framework. Here, we give necessary and sufficient conditions for a system to be sample-based functionally observable, and formulate conditions on the sampling schemes such that these are satisfied. Furthermore, we provide a numerical example, where we demonstrate the applicability of the obtained results.
KW - Functional observability
KW - irregular sampling
KW - linear systems
KW - partial observability
UR - http://www.scopus.com/inward/record.url?scp=105009644250&partnerID=8YFLogxK
U2 - 10.1109/LCSYS.2025.3582512
DO - 10.1109/LCSYS.2025.3582512
M3 - Article
AN - SCOPUS:105009644250
VL - 9
SP - 1393
EP - 1398
JO - IEEE Control Systems Letters
JF - IEEE Control Systems Letters
ER -