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Optimal PID controller tuning using stochastic programming techniques
ArticleAbstract: We argue that stochastic programming provides a powerful framework to tune and analyze the performanPalabras claves:PID CONTROL, Risk, robustness, stochastic programming, UNCERTAINTYAutores:Cao Y., Dowling A.W., Renteria J.A., Víctor M. ZavalaFuentes:scopusMachine Learning Algorithms for Liquid Crystal-Based Sensors
ArticleAbstract: We present a machine learning (ML) framework to optimize the specificity and speed of liquid crystalPalabras claves:Automated, chemical sensors, Fast, Liquid crystals, Machine learningAutores:Abbott N.L., Cao Y., Víctor M. Zavala, Yu H.Fuentes:scopusUsing stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines
ArticleAbstract: We propose stochastic programming formulations to enforce mechanical load requirements in wind turbiPalabras claves:Mechanical load, Power, Risk, stochastic programming, WindAutores:Cao Y., D'Amato F., Víctor M. ZavalaFuentes:scopusScalable Solution Strategies for Chance-Constrained Nonlinear Programs
ArticleAbstract: Probabilistic (chance) constraints are a powerful modeling paradigm that helps decision-makers contrPalabras claves:Autores:Cao Y., Ponce-Ortega J.M., Tovar-Facio J., Víctor M. ZavalaFuentes:scopus