An iterative strategy for fixed final state optimal control problems via simple cell mapping. - Luis G. Crespo; Jian-Qiao Sun (ACC, 2000)

Nonlinear stochastic control via stationary probability density functions. - Luis G. Crespo; Jian-Qiao Sun (ACC, 2002)

Effects of the control bounds in the stochastic optimal control problem. - Luis G. Crespo; Jian-Qiao Sun (ACC, 2002)

Optimal performance, robustness and reliability based designs of systems with structured uncertainty. - Luis G. Crespo (ACC, 2003)

Differential flatness and cooperative tracking in the Lorenz system. - Luis G. Crespo; Sunil K. Agrawal (ACC, 2003)

Stochastic optimal control via Bellman's principle. - Luis G. Crespo; Jian-Qiao Sun (Autom., 2003)

Adaptive control of hypersonic vehicles in the presence of modeling uncertainties. - Travis E. Gibson; Luis G. Crespo; Anuradha M. Annaswamy (ACC, 2009)

An adaptive control technology for safety of a GTM-like aircraft. - Megumi Matsutani; Travis E. Gibson; Jinho Jang; Luis G. Crespo; Anuradha Annaswamy (ACC, 2009)

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)

Bifurcation analysis using rigorous branch and bound methods. - Andrew P. Smith 001; Luis G. Crespo; César A. Muñoz; Mark H. Lowenberg (CCA, 2014)

Interval predictor models with a formal characterization of uncertainty and reliability. - Luis G. Crespo; Daniel P. Giesy; Sean P. Kenny (CDC, 2014)

Special Edition on Uncertainty Quantification of the AIAA Journal of Aerospace Computing, Information, and Communication. - Luis G. Crespo; Sean P. Kenny (J. Aerosp. Inf. Syst., 2015)

Interval predictor models for data with measurement uncertainty. - Márcio J. Lacerda; Luis G. Crespo (ACC, 2017)

A Sum of Squares Optimization Approach to Uncertainty Quantification. - Brendon K. Colbert; Luis G. Crespo; Matthew M. Peet (ACC, 2019)

A Scenario Optimization Approach to System Identification with Reliability Guarantees. - Luis G. Crespo; Daniel P. Giesy; Sean P. Kenny; Julio Deride (ACC, 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 Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions. - Brendon K. Colbert; Luis G. Crespo; Matthew M. Peet (ACC, 2020)

Forward and Inverse Approaches to Model Calibration for Uncertain Data. - Luis G. Crespo (SMC, 2020)

A scenario optimization approach to reliability-based design. - Roberto Rocchetta; Luis G. Crespo; Sean P. Kenny (Reliab. Eng. Syst. Saf., 2020)

Robust Estimation of Sliced-Exponential Distributions⋆. - Luis G. Crespo; Brendon K. Colbert; Tanner Slager; Sean P. Kenny (CDC, 2021)

Interval Predictor Models for Robust System Identification*. - Luis G. Crespo; Sean P. Kenny; Brendon K. Colbert; Tanner Slagel (CDC, 2021)

A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds. - Roberto Rocchetta; Luis G. Crespo (Reliab. Eng. Syst. Saf., 2021)

Calibration of Radiation-Induced Cancer Risk Models According to Random Data. - Luis G. Crespo; Tony C. Slaba; Floriane A. Poignant; Sean P. Kenny (IPMU (2), 2022)

Adaptive learning for reliability analysis using Support Vector Machines. - Nick Pepper; Luis G. Crespo; Francesco Montomoli (Reliab. Eng. Syst. Saf., 2022)

An Inverse Chance-Constrained Approach to the Calibration of Robust Models. - Luis G. Crespo; Sean P. Kenny (SMC, 2023)

Risk Analysis and Design Against Adversarial Actions. - Marco C. Campi; Algo Carè; Luis G. Crespo; Simone Garatti; Federico A. Ramponi (CoRR, 2025)