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Initially, [[scenario optimization]] was applied to robust control problems.<ref name="CampiGaratti2009">{{cite journal|last1=Campi|first1=Marco C.|last2=Garatti|first2=Simone|last3=Prandini|first3=Maria|author3-link= Maria Prandini |title=The scenario approach for systems and control design|journal=Annual Reviews in Control|volume=33|issue=2|year=2009|pages=149–157|issn=13675788|doi=10.1016/j.arcontrol.2009.07.001}}</ref>
Crespo (2015) applied Interval Predictor Models to the design of space radiation shielding.<ref name="CrespoKenny2016a">{{cite book|last1=Crespo|first1=Luis G.|title=18th AIAA Non-Deterministic Approaches Conference|last2=Kenny|first2=Sean P.|last3=Giesy|first3=Daniel P.|last4=Norman|first4=Ryan B.|last5=Blattnig|first5=Steve|chapter=Application of Interval Predictor Models to Space Radiation Shielding|year=2016|doi=10.2514/6.2016-0431|isbn=978-1-62410-397-1|hdl=2060/20160007750}}</ref> and to system identification <ref>{{cite journal |last1=Crespo |first1=Luis |last2=Kenny |first2=Sean |last3=Colbert |first3=Brendon |last4=Slagel |first4=Tanner |title=Interval Predictor Models for Robust System Identification |journal=IEEE CDC 2021 |date=December 2021}}</ref>.
In Patelli (2017), Faes (2019), and Crespo (2018), Interval Predictor models were applied to the [[structural reliability]] analysis problem.<ref name="PatelliBroggi2017">{{cite book|last1=Patelli|first1=Edoardo|title=Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017)|last2=Broggi|first2=Matteo|last3=Tolo|first3=Silvia|last4=Sadeghi|first4=Jonathan|year=2017|pages=212–224|doi=10.7712/120217.5364.16982|chapter=Cossan Software: A Multidisciplinary and Collaborative Software for Uncertainty Quantification|isbn=978-618-82844-4-9}}</ref>
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