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ORCIDLuis G. Crespo
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2020 – today
- 2023
[c18]Luis G. Crespo, Sean P. Kenny:
An Inverse Chance-Constrained Approach to the Calibration of Robust Models. SMC 2023: 5279-5284- 2022
- [c17]Luis G. Crespo, Tony C. Slaba, Floriane A. Poignant
, Sean P. Kenny:
Calibration of Radiation-Induced Cancer Risk Models According to Random Data. IPMU (2) 2022: 99-114 - 2021
- [j6]Roberto Rocchetta, Luis G. Crespo:
A scenario optimization approach to reliability-based and risk-based design: Soft-constrained modulation of failure probability bounds. Reliab. Eng. Syst. Saf. 216: 107900 (2021) - [c16]Luis G. Crespo, Sean P. Kenny, Brendon K. Colbert, Tanner Slagel:
Interval Predictor Models for Robust System Identification*. CDC 2021: 872-879 - [c15]Luis G. Crespo, Brendon K. Colbert, Tanner Slager, Sean P. Kenny:
Robust Estimation of Sliced-Exponential Distributions⋆. CDC 2021: 6742-6748 - 2020
- [j5]Roberto Rocchetta, Luis G. Crespo, Sean P. Kenny:
A scenario optimization approach to reliability-based design. Reliab. Eng. Syst. Saf. 196: 106755 (2020) - [c14]Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet:
A Convex Optimization Approach to Improving Suboptimal Hyperparameters of Sliced Normal Distributions. ACC 2020: 4478-4483 - [c13]Luis G. Crespo:
Forward and Inverse Approaches to Model Calibration for Uncertain Data. SMC 2020: 64-69
2010 – 2019
- 2019
- [j4]Luis G. Crespo, Brendon K. Colbert, Sean P. Kenny, Daniel P. Giesy:
On the quantification of aleatory and epistemic uncertainty using Sliced-Normal distributions. Syst. Control. Lett. 134 (2019) - [c12]Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny, Julio Deride:
A Scenario Optimization Approach to System Identification with Reliability Guarantees. ACC 2019: 2100-2106 - [c11]Brendon K. Colbert, Luis G. Crespo, Matthew M. Peet:
A Sum of Squares Optimization Approach to Uncertainty Quantification. ACC 2019: 5378-5384 - 2017
- [c10]Márcio J. Lacerda, Luis G. Crespo:
Interval predictor models for data with measurement uncertainty. ACC 2017: 1487-1492 - 2015
- [j3]Luis G. Crespo, Sean P. Kenny:
Special Edition on Uncertainty Quantification of the AIAA Journal of Aerospace Computing, Information, and Communication. J. Aerosp. Inf. Syst. 12(1): 9 (2015) - 2014
- [c9]Andrew P. Smith, Luis G. Crespo, César A. Muñoz, Mark H. Lowenberg:
Bifurcation analysis using rigorous branch and bound methods. CCA 2014: 2095-2100 - [c8]Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny:
Interval predictor models with a formal characterization of uncertainty and reliability. CDC 2014: 5991-5996 - 2012
- [j2]Luis G. Crespo, Daniel P. Giesy, Sean P. Kenny:
A Unifying Framework to Uncertainty Quantification of Polynomial Systems Subject to Aleatory and Epistemic Uncertainty. Reliab. Comput. 17: 97-127 (2012)
2000 – 2009
- 2009
- [c7]Travis E. Gibson, Luis G. Crespo, Anuradha M. Annaswamy:
Adaptive control of hypersonic vehicles in the presence of modeling uncertainties. ACC 2009: 3178-3183 - [c6]Megumi Matsutani, Travis E. Gibson, Jinho Jang, Luis G. Crespo, Anuradha Annaswamy:
An adaptive control technology for safety of a GTM-like aircraft. ACC 2009: 3238-3243 - 2003
- [j1]Luis G. Crespo, Jian-Qiao Sun:
Stochastic optimal control via Bellman's principle. Autom. 39(12): 2109-2114 (2003) - [c5]Luis G. Crespo, Sunil K. Agrawal:
Differential flatness and cooperative tracking in the Lorenz system. ACC 2003: 3525-3530 - [c4]Luis G. Crespo:
Optimal performance, robustness and reliability based designs of systems with structured uncertainty. ACC 2003: 4219-4224 - 2002
- [c3]Luis G. Crespo, Jian-Qiao Sun:
Nonlinear stochastic control via stationary probability density functions. ACC 2002: 2029-2034 - [c2]Luis G. Crespo, Jian-Qiao Sun:
Effects of the control bounds in the stochastic optimal control problem. ACC 2002: 4238-4243 - 2000
- [c1]Luis G. Crespo, Jian-Qiao Sun:
An iterative strategy for fixed final state optimal control problems via simple cell mapping. ACC 2000: 3850-3854
Coauthor Index
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