Luis G. Crespo

27 papers B 2C 12Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A data-driven approach to risk-aware robust design.
Reliab. Eng. Syst. Saf.
Luis G. Crespo, Bret K. Stanford, Natalia Alexandrov
2025 J jnl
Risk Analysis and Design Against Adversarial Actions.
CoRR
Marco C. Campi, Algo Carè, Luis G. Crespo, Simone Garatti, Federico A. Ramponi
2023 B conf
An Inverse Chance-Constrained Approach to the Calibration of Robust Models.
SMC
Luis G. Crespo, Sean P. Kenny
2022 J jnl
Adaptive learning for reliability analysis using Support Vector Machines.
Reliab. Eng. Syst. Saf.
Nick Pepper, Luis G. Crespo, Francesco Montomoli
2022 — conf
Calibration of Radiation-Induced Cancer Risk Models According to Random Data.
IPMU (2)
Luis G. Crespo, Tony C. Slaba, Floriane A. Poignant, Sean P. Kenny
2021 J jnl
A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds.
Reliab. Eng. Syst. Saf.
Roberto Rocchetta, Luis G. Crespo
2021 — conf
Interval Predictor Models for Robust System Identification
CDC
Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel
2021 — conf
Robust Estimation of Sliced-Exponential Distributions
CDC
Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny
2020 C conf
A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions.
ACC
Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet
2020 J jnl
A scenario optimization approach to reliability-based design.
Reliab. Eng. Syst. Saf.
Roberto Rocchetta, Luis G. Crespo, Sean P. Kenny
2020 B conf
Forward and Inverse Approaches to Model Calibration for Uncertain Data.
SMC
Luis G. Crespo
2019 C conf
A Scenario Optimization Approach to System Identification with Reliability Guarantees.
ACC
Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny, Julio Deride
2019 C conf
A Sum of Squares Optimization Approach to Uncertainty Quantification.
ACC
Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet
2019 J jnl
On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions.
Syst. Control. Lett.
Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy
2017 C conf
Interval predictor models for data with measurement uncertainty.
ACC
Márcio J. Lacerda, Luis G. Crespo
2015 J jnl
Special Edition on Uncertainty Quantification of the AIAA
J. Aerosp. Inf. Syst.
Luis G. Crespo, Sean P. Kenny
2014 C conf
Bifurcation analysis using rigorous branch and bound methods.
CCA
Andrew P. Smith, Luis G. Crespo, César A. Muñoz, Mark H. Lowenberg
2014 — conf
Interval predictor models with a formal characterization of uncertainty and reliability.
CDC
Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny
2012 J jnl
A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic Uncertainty.
Reliab. Comput.
Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny
2009 C conf
Adaptive control of hypersonic vehicles in the presence of modeling uncertainties.
ACC
Travis E. Gibson, Luis G. Crespo, Anuradha M. Annaswamy
2009 C conf
An adaptive control technology for safety of a GTM-like aircraft.
ACC
Megumi Matsutani, Travis E. Gibson, Jinho Jang, Luis G. Crespo, Anuradha Annaswamy
2003 C conf
Differential flatness and cooperative tracking in the Lorenz system.
ACC
Luis G. Crespo, Sunil K. Agrawal
2003 C conf
Optimal performance, robustness and reliability based designs of systems with structured uncertainty.
ACC
Luis G. Crespo
2003 J jnl
Stochastic optimal control via Bellman's principle.
Autom.
Luis G. Crespo, Jian-Qiao Sun
2002 C conf
Effects of the control bounds in the stochastic optimal control problem.
ACC
Luis G. Crespo, Jian-Qiao Sun
2002 C conf
Nonlinear stochastic control via stationary probability density functions.
ACC
Luis G. Crespo, Jian-Qiao Sun
2000 C conf
An iterative strategy for fixed final state optimal control problems via simple cell mapping.
ACC
Luis G. Crespo, Jian-Qiao Sun