3 citations · 3 across the 2 of their papers we have counts for
2 papers
math.OC2022★ 3 cited
Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments
Shuhao Yan, Francesca Parise, Eilyan Bitar
We study sample average approximations (SAA) of chance constrained programs. SAA methods typically approximate the actual distribution in the chance constraint using an empirical d…
math.OC2020
Output feedback stochastic MPC with packet losses
Shuhao Yan, Mark Cannon, Paul Goulart
The paper considers constrained linear systems with stochastic additive disturbances and noisy measurements transmitted over a lossy communication channel. We propose a model predi…