activity
20122025
most citedOptimal co-design of control, scheduling and routing in multi-hop control networks

21 citations · 52 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2025★ 9 cited

Optimal control over Markovian wireless communication channels under generalized packet dropout compensation

Yuriy Zacchia Lun, Francesco Smarra, Alessandro D'Innocenzo

Control loops closed over wireless links greatly benefit from accurate estimates of the communication channel condition. To this end, the finite-state Markov channel model allows f…

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★ 12 cited

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…

math.OC2013★ 10 cited

Fault detection and isolation of malicious nodes in MIMO Multi-hop Control Networks

A. D'Innocenzo, M. D. Di Benedetto, F. Smarra

A MIMO Multi-hop Control Network (MCN) consists of a MIMO LTI system where the communication between sensors, actuators and computational units is supported by a (wireless) multi-h…

math.OC2012★ 21 cited

Optimal co-design of control, scheduling and routing in multi-hop control networks

F. Smarra, A. D'Innocenzo, M. D. Di Benedetto

A Multi-hop Control Network consists of a plant where the communication between sensors, actuators and computational units is supported by a (wireless) multi-hop communication netw…