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On Sample-Based Functional Observability of Linear Systems

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Original languageEnglish
Pages (from-to)1393-1398
Number of pages6
JournalIEEE Control Systems Letters
Volume9
Early online date23 Jun 2025
Publication statusPublished - 11 Jul 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.

Keywords

    Functional observability, irregular sampling, linear systems, partial observability

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On Sample-Based Functional Observability of Linear Systems. / Krauss, Isabelle; Lopez, Victor G.; MÜller, Matthias A.
In: IEEE Control Systems Letters, Vol. 9, 11.07.2025, p. 1393-1398.

Research output: Contribution to journalArticleResearchpeer review

Krauss I, Lopez VG, MÜller MA. On Sample-Based Functional Observability of Linear Systems. IEEE Control Systems Letters. 2025 Jul 11;9:1393-1398. Epub 2025 Jun 23. doi: 10.1109/LCSYS.2025.3582512, 10.48550/arXiv.2506.23744
Krauss, Isabelle ; Lopez, Victor G. ; MÜller, Matthias A. / On Sample-Based Functional Observability of Linear Systems. In: IEEE Control Systems Letters. 2025 ; Vol. 9. pp. 1393-1398.
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