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Victor M Zavala

Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models
A sigmoidal approximation for chance-constrained nonlinear programs
A scalable global optimization algorithm for stochastic nonlinear programs
Graph-based modeling and simulation of complex systems
A Chance-Constrained Nonlinear Programming Approach for Equipment Design Under Uncertainty
Using stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines
Machine learning algorithms for liquid crystal-based sensors
Optimal PID controller tuning using stochastic programming techniques
Scalable solution strategies for chance-constrained nonlinear programs
Scalable modeling and solution of stochastic multiobjective optimization problems

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