Poster Abstract: Data-Driven Correct-by-Design Control of Parametric Stochastic Systems✱
Author:
Affiliation:
1. Newcastle University, United Kingdom
2. Eindhoven University of Technology, Netherlands
3. Newcastle University, United Kingdom and Max Planck Institute for Software Systems, Germany
Funder
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Engineering and Physical Sciences Research Council
HORIZON EUROPE European Innovation Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3575870.3589547
Reference5 articles.
1. Robust Dynamic Programming for Temporal Logic Control of Stochastic Systems
2. Data-driven and model-based verification via Bayesian identification and reachability analysis
3. Automated verification and synthesis of stochastic hybrid systems: A survey
4. Oliver Schön , Birgit van Huijgevoort , Sofie Haesaert , and Sadegh Soudjani . 2022 . Correct-by-Design Control of Parametric Stochastic Systems. In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 5580–5587 . Oliver Schön, Birgit van Huijgevoort, Sofie Haesaert, and Sadegh Soudjani. 2022. Correct-by-Design Control of Parametric Stochastic Systems. In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 5580–5587.
5. Similarity quantification for linear stochastic systems: A coupling compensator approach
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