Sean P. Kenny

According to our database, Sean P. Kenny authored at least 10 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An Inverse Chance-Constrained Approach to the Calibration of Robust Models.

Luis G. Crespo, Sean P. Kenny

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Calibration of Radiation-Induced Cancer Risk Models According to Random Data.

Luis G. Crespo, Tony C. Slaba, Floriane A. Poignant, Sean P. Kenny

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

Interval Predictor Models for Robust System Identification^*.

Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Robust Estimation of Sliced-Exponential Distributions^⋆.

Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A scenario optimization approach to reliability-based design.

Roberto Rocchetta, Luis G. Crespo, Sean P. Kenny

Reliab. Eng. Syst. Saf., 2020

2019

On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions.

Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy

Syst. Control. Lett., 2019

A Scenario Optimization Approach to System Identification with Reliability Guarantees.

Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny, Julio Deride

Proceedings of the 2019 American Control Conference, 2019

2015

Special Edition on Uncertainty Quantification of the AIAA <i>Journal of Aerospace Computing, Information, and Communication</i>.

Luis G. Crespo, Sean P. Kenny

J. Aerosp. Inf. Syst., 2015

2014

Interval predictor models with a formal characterization of uncertainty and reliability.

Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012

A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic Uncertainty.

Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny

Reliab. Comput., 2012