Abstract
We study the problems of determining the detectability and designing a state observer for linear time-invariant systems from measured data. First, we establish algebraic criteria to verify the detectability of the system from noise-free data. Then, we formulate data-driven linear matrix inequality-based conditions for observer design. Finally, we give conditions to infer the detectability of the system from noisy data.
Original language | English |
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Title of host publication | 2022 IEEE 61st Conference on Decision and Control, CDC 2022 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 4846-4852 |
Number of pages | 7 |
ISBN (Electronic) | 9781665467612 |
DOIs | |
State | Published - 1 Jan 2022 |
Externally published | Yes |
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 |
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Volume | 2022-December |
ISSN (Print) | 0743-1546 |
ISSN (Electronic) | 2576-2370 |
Conference
Conference | 61st IEEE Conference on Decision and Control, CDC 2022 |
---|---|
Country/Territory | Mexico |
City | Cancun |
Period | 6/12/22 → 9/12/22 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization
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Mishra, V. K., Van Waarde, H. J., & Bajcinca, N. (2022). Data-Driven Criteria for Detectability and Observer Design for LTI Systems. In 2022 IEEE 61st Conference on Decision and Control, CDC 2022 (pp. 4846-4852). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2022-December). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC51059.2022.9992632
Mishra, Vikas Kumar ; Van Waarde, Henk J. ; Bajcinca, Naim. / Data-Driven Criteria for Detectability and Observer Design for LTI Systems. 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers, 2022. pp. 4846-4852 (Proceedings of the IEEE Conference on Decision and Control).
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abstract = "We study the problems of determining the detectability and designing a state observer for linear time-invariant systems from measured data. First, we establish algebraic criteria to verify the detectability of the system from noise-free data. Then, we formulate data-driven linear matrix inequality-based conditions for observer design. Finally, we give conditions to infer the detectability of the system from noisy data.",
author = "Mishra, {Vikas Kumar} and {Van Waarde}, {Henk J.} and Naim Bajcinca",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 61st IEEE Conference on Decision and Control, CDC 2022 ; Conference date: 06-12-2022 Through 09-12-2022",
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Mishra, VK, Van Waarde, HJ & Bajcinca, N 2022, Data-Driven Criteria for Detectability and Observer Design for LTI Systems. in 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Proceedings of the IEEE Conference on Decision and Control, vol. 2022-December, Institute of Electrical and Electronics Engineers, pp. 4846-4852, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 6/12/22. https://doi.org/10.1109/CDC51059.2022.9992632
Data-Driven Criteria for Detectability and Observer Design for LTI Systems. / Mishra, Vikas Kumar; Van Waarde, Henk J.; Bajcinca, Naim.
2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers, 2022. p. 4846-4852 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2022-December).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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N2 - We study the problems of determining the detectability and designing a state observer for linear time-invariant systems from measured data. First, we establish algebraic criteria to verify the detectability of the system from noise-free data. Then, we formulate data-driven linear matrix inequality-based conditions for observer design. Finally, we give conditions to infer the detectability of the system from noisy data.
AB - We study the problems of determining the detectability and designing a state observer for linear time-invariant systems from measured data. First, we establish algebraic criteria to verify the detectability of the system from noise-free data. Then, we formulate data-driven linear matrix inequality-based conditions for observer design. Finally, we give conditions to infer the detectability of the system from noisy data.
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Mishra VK, Van Waarde HJ, Bajcinca N. Data-Driven Criteria for Detectability and Observer Design for LTI Systems. In 2022 IEEE 61st Conference on Decision and Control, CDC 2022. Institute of Electrical and Electronics Engineers. 2022. p. 4846-4852. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC51059.2022.9992632