Maddalena, Emilio T.

1. Deterministic error bounds for kernel-based learning techniques under bounded noise
   2020/08/10 by Maddalena, Emilio T., Scharnhorst, Paul, Jones, Colin N. · 4 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
2. Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach
   2021/04/19 by Paul Scharnhorst, Emilio T. Maddalena, Scharnhorst, Paul +5 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Algorithms #Risk and Portfolio Optimization #Systems and Control (eess.SY) #electronic engineering #information engineering
3. KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
   2020/11/23 by Emilio T. Maddalena, Paul Scharnhorst, Maddalena, Emilio T. +5 · 2 citations
   Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Electrical engineering #Fault Detection and Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
4. On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller
   2020/10/28 by Ugo Rosolia, Yingzhao Lian, Rosolia, Ugo +7 · 1 citation
   Engineering · Medicine · #Advanced Control Systems Optimization #Cardiovascular Function and Risk Factors #FOS: Electrical engineering #FOS: Mathematics #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
5. Experimental Data-Driven Model Predictive Control of a Hospital HVAC System During Regular Use
   2021/12/14 by Emilio T. Maddalena, Silvio A. Muller, Maddalena, Emilio T. +7 · 1 citation
   Engineering · #Advanced Control Systems Optimization #Building Energy and Comfort Optimization #FOS: Electrical engineering #Process Optimization and Integration #Systems and Control (eess.SY) #electronic engineering #information engineering
6. Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
   2022/05/31 by Di Natale, Loris, Lian, Yingzhao, Maddalena, Emilio T. +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering