Abstract
Willems et al.'s fundamental lemma asserts that all trajectories of a linear system can be obtained from a single given one, assuming that a persistency of excitation and a controllability condition hold. This result has profound implications for system identification and data-driven control, and has seen a revival over the last few years. The purpose of this letter is to extend Willems' lemma to the situation where multiple (possibly short) system trajectories are given instead of a single long one. To this end, we introduce a notion of collective persistency of excitation. We will show that all trajectories of a linear system can be obtained from a given finite number of trajectories, as long as these are collectively persistently exciting. We will demonstrate that this result enables the identification of linear systems from data sets with missing samples. Additionally, we show that the result is of practical significance in data-driven control of unstable systems.
Original language | English |
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Article number | 9062331 |
Pages (from-to) | 602-607 |
Number of pages | 6 |
Journal | IEEE Control Systems Letters |
Volume | 4 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul-2020 |
Event | 59th IEEE Conference on Decision and Control - Jeju Island, Jeju Island, Korea, Republic of Duration: 14-Dec-2020 → 18-Dec-2020 https://cdc2020.ieeecss.org/ |
Keywords
- Trajectory
- Linear systems
- Kernel
- Controllability
- Computational modeling
- Instruments
- Identification for control
- linear systems
- IDENTIFICATION
- MODEL