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Stochastic Programming
Using stochastic programming to train neural network approximation of nonlinear MPC laws
To facilitate the real-time implementation of nonlinear model predictive control (NMPC), this paper proposes a deep learning-based NMPC …
Yun Li
,
Kaixun Hua
,
Yankai Cao
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Using stochastic programming and statistical extrapolation to mitigate long-term extreme loads in wind turbines
We propose stochastic programming formulations to enforce mechanical load requirements in wind turbine controller design procedures. …
Yankai Cao
,
Victor M Zavala
,
Fernando D'Amato
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Optimal PID controller tuning using stochastic programming techniques
We argue that stochastic programming provides a powerful framework to tune and analyze the performance limits of controllers. In …
Jose a Renteria
,
Yankai Cao
,
Alexander W Dowling
,
Victor M Zavala
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Scalable modeling and solution of stochastic multiobjective optimization problems
We present a scalable computing framework for the solution stochastic multiobjective optimization problems. The proposed framework uses …
Yankai Cao
,
Luis Fabian Fuentes-Cortes
,
Siyu Chen
,
Victor M Zavala
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