- Abstract:
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A measurement-based statistical verification approach is developed for systems with partly unknown dynamics. Grey-box systems, which are specified as a model class, are subject to identification experiments that enable accepting or rejecting system properties expressed as formulae in a lineartime logic with a given confidence. We employ a Bayesian framework for the computation of the confidence level and for the design of experiments to increase the confidence. The experiment design is formul...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 429.4KB)
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- Publisher copy:
- 10.1109/ECC.2016.7810322
-
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- Publisher:
- Institute for Electrical and Electronics Engineers Publisher's website
- Pages:
- 427-432
- Publication date:
- 2017-01-05
- Acceptance date:
- 2016-04-20
- DOI:
- Pubs id:
-
pubs:667209
- URN:
-
uri:51e557c3-8e2a-4306-9fd7-98a2922a5f57
- UUID:
-
uuid:51e557c3-8e2a-4306-9fd7-98a2922a5f57
- Local pid:
- pubs:667209
- ISBN:
- 978-1-5090-2591-6
- Copyright holder:
- European Control Association
- Copyright date:
- 2017
- Notes:
-
Copyright © 2016 EUCA. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/ECC.2016.7810322
Conference item
Experiment design for formal verification via stochastic optimal control
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Funding
John Fell OUP Research Fund
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Netherlands Organisation for Scientific Research
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Dutch Institute of Systems and Control
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