Details
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE 61st Conference on Decision and Control, CDC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4199-4205 |
| Number of pages | 7 |
| ISBN (electronic) | 9781665467612 |
| ISBN (print) | 978-1-6654-6760-5, 978-1-6654-6762-9 |
| Publication status | Published - 2022 |
| Event | 61st IEEE Conference on Decision and Control, CDC 2022 - Cancun, Mexico Duration: 6 Dec 2022 → 9 Dec 2022 |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| Volume | 2022-December |
| ISSN (Print) | 0743-1546 |
| ISSN (electronic) | 2576-2370 |
Abstract
In this work, sample-based observability of linear discrete-time systems is studied. That is, we consider the case where the system output measurements are not available at every time instance. It is shown that some discrete-time systems exhibit particular behaviors that lead to pathological sampling. Depending on the characteristics of the system, different sampling schemes are developed that allow the system state to be reconstructed.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Mathematics(all)
- Modelling and Simulation
- Mathematics(all)
- Control and Optimization
Cite this
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2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 4199-4205 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2022-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Sample-based observability of linear discrete-time systems
AU - Krauss, Isabelle
AU - Lopez, Victor G.
AU - Muller, Matthias A.
N1 - Funding Information: This work received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948679).
PY - 2022
Y1 - 2022
N2 - In this work, sample-based observability of linear discrete-time systems is studied. That is, we consider the case where the system output measurements are not available at every time instance. It is shown that some discrete-time systems exhibit particular behaviors that lead to pathological sampling. Depending on the characteristics of the system, different sampling schemes are developed that allow the system state to be reconstructed.
AB - In this work, sample-based observability of linear discrete-time systems is studied. That is, we consider the case where the system output measurements are not available at every time instance. It is shown that some discrete-time systems exhibit particular behaviors that lead to pathological sampling. Depending on the characteristics of the system, different sampling schemes are developed that allow the system state to be reconstructed.
UR - http://www.scopus.com/inward/record.url?scp=85146984778&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2204.06451
DO - 10.48550/arXiv.2204.06451
M3 - Conference contribution
AN - SCOPUS:85146984778
SN - 978-1-6654-6760-5
SN - 978-1-6654-6762-9
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4199
EP - 4205
BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE Conference on Decision and Control, CDC 2022
Y2 - 6 December 2022 through 9 December 2022
ER -