A geometric characterization of the persistence of excitation condition for the solutions of autonomous systems
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 234
- Type
- D - Journal article
- DOI
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10.1109/TAC.2017.2687760
- Title of journal
- IEEE Transactions on Automatic Control
- Article number
- 11
- First page
- 5666
- Volume
- 62
- Issue
- 11
- ISSN
- 0018-9286
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
10.1109/TAC.2017.2687760
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a highly technical paper solving a long-standing open problem in data-driven control, identification and learning, namely “When does collected data contain enough information to demonstrably complete a given task?”. The fundamental nature of the contribution has been achieved thanks to differential geometric methods which have never been used before in this way and in this context. https://doi.org/10.1109/CDC40024.2019.9029185 states that the "Recent results [of the paper] have reignited the interest of the community on system identification for nonlinear systems, interestingly pointing out the importance of the concept of persistently exciting signals" while https://doi.org/10.1016/j.arcontrol.2020.06.002 highlights its "elegant geometric characterization".
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -