Luis G. Crespo - researchr alias

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Viewing Publication 1 - 25 from 25

2026

A data-driven approach to risk-aware robust designLuis G. Crespo, Bret K. Stanford, Natalia Alexandrov. ress, 265:111534, 2026. [doi]

2023

An Inverse Chance-Constrained Approach to the Calibration of Robust ModelsLuis G. Crespo, Sean P. Kenny. SMC 2023: 5279-5284 [doi]

2022

Calibration of Radiation-Induced Cancer Risk Models According to Random DataLuis G. Crespo, Tony C. Slaba, Floriane A. Poignant, Sean P. Kenny. ipmu 2022: 99-114 [doi]

2021

*Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel. cdc 2021: 872-879 [doi]

⋆Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny. cdc 2021: 6742-6748 [doi]

A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability boundsRoberto Rocchetta, Luis G. Crespo. ress, 216:107900, 2021. [doi]

2020

A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal DistributionsBrendon K. Colbert, Luis G. Crespo, Matthew M. Peet. amcc 2020: 4478-4483 [doi]

Forward and Inverse Approaches to Model Calibration for Uncertain DataLuis G. Crespo. SMC 2020: 64-69 [doi]

A scenario optimization approach to reliability-based designRoberto Rocchetta, Luis G. Crespo, Sean P. Kenny. ress, 196:106755, 2020. [doi]

2019

2017

Interval predictor models for data with measurement uncertaintyMarcio J. Lacerda, Luis G. Crespo. amcc 2017: 1487-1492 [doi]

2015

Journal of Aerospace Computing, Information, and CommunicationLuis G. Crespo, Sean P. Kenny. jacic, 12(1):9, 2015. [doi]

2014

Interval predictor models with a formal characterization of uncertainty and reliabilityLuis G. Crespo, Daniel P. Giesy, Sean P. Kenny. cdc 2014: 5991-5996 [doi]

Bifurcation analysis using rigorous branch and bound methodsAndrew P. Smith, Luis G. Crespo, César A. Muñoz, Mark H. Lowenberg. IEEEcca 2014: 2095-2100 [doi]

2012

A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic UncertaintyLuis G. Crespo, Daniel P. Giesy, Sean P. Kenny. rc, 17:97-127, 2012. [doi]

2009

Adaptive control of hypersonic vehicles in the presence of modeling uncertaintiesTravis E. Gibson, Luis G. Crespo, Anuradha M. Annaswamy. amcc 2009: 3178-3183 [doi]

An adaptive control technology for safety of a GTM-like aircraftMegumi Matsutani, Travis E. Gibson, Jinho Jang, Luis G. Crespo, Anuradha Annaswamy. amcc 2009: 3238-3243 [doi]

2003

Differential flatness and cooperative tracking in the Lorenz systemLuis G. Crespo, Sunil K. Agrawal. amcc 2003: 3525-3530 [doi]

Optimal performance, robustness and reliability based designs of systems with structured uncertaintyLuis G. Crespo. amcc 2003: 4219-4224 [doi]

Stochastic optimal control via Bellman s principleLuis G. Crespo, Jian-Qiao Sun. automatica, 39(12):2109-2114, 2003. [doi]

2002

Effects of the control bounds in the stochastic optimal control problemLuis G. Crespo, Jian-Qiao Sun. amcc 2002: 4238-4243 [doi]

Nonlinear stochastic control via stationary probability density functionsLuis G. Crespo, Jian-Qiao Sun. amcc 2002: 2029-2034 [doi]

2000

An iterative strategy for fixed final state optimal control problems via simple cell mappingLuis G. Crespo, Jian-Qiao Sun. amcc 2000: 3850-3854 [doi]

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