12 citations · 36 across the 8 of their papers we have counts for
3 papers · 1 filter
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization
Wenjie Xu, Yuning Jiang, Emilio T. Maddalena +1
Efficient global optimization is a widely used method for optimizing expensive black-box functions such as tuning hyperparameter, and designing new material, etc. Despite its popul…
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
Loris Di Natale, Yingzhao Lian, Emilio T. Maddalena +2
This manuscript offers the perspective of experimentalists on a number of modern data-driven techniques: model predictive control relying on Gaussian processes, adaptive data-drive…
Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use
Emilio T. Maddalena, Silvio A. Muller, Rafael M. dos Santos +2
Herein we report a multi-zone, heating, ventilation and air-conditioning (HVAC) control case study of an industrial plant responsible for cooling a hospital surgery center. The ado…