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 …
PDF Cite
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. …
PDF Cite
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 …
PDF Cite
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 …
PDF Cite