2 papers
eess.SY2021
Learning Markov models of fading channels in wireless control networks: a regression trees based approach
Luis Felipe Florenzan Reyes, Francesco Smarra, Yuriy Zacchia Lun +1
Finite-state Markov models are widely used for modeling wireless channels affected by a variety of non-idealities, ranging from shadowing to interference. In an industrial environm…
eess.SY2020
NeurOpt: Neural network based optimization for building energy management and climate control
Achin Jain, Francesco Smarra, Enrico Reticcioli +2
Model predictive control (MPC) can provide significant energy cost savings in building operations in the form of energy-efficient control with better occupant comfort, lower peak d…