activity
20152023
most citedA benchmark for data-based office modeling: challenges related to CO dynamics

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023

What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab

Mahsa Farjadnia, Angela Fontan, Alessio Russo +2

Window-opening and window-closing behaviors play an important role in indoor environmental conditions and therefore have an impact on building energy efficiency. On the other hand,…

eess.SY2022

Robust Data-Driven Predictive Control of Unknown Nonlinear Systems using Reachability Analysis

Mahsa Farjadnia, Amr Alanwar, Muhammad Umar B. Niazi +2

This work proposes a robust data-driven predictive control approach for unknown nonlinear systems in the presence of bounded process and measurement noise. Data-driven reachable se…

eess.SY2021

Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study

Alessio Russo, Marco Molinari, Alexandre Proutiere

This work investigates the feasibility of using input-output data-driven control techniques for building control and their susceptibility to data-poisoning techniques. The analysis…

eess.SY2020

Maximizing Privacy in MIMO Cyber-Physical Systems Using the Chapman-Robbins Bound

Rijad Alisic, Marco Molinari, Philip E. Paré +1

Privacy breaches of cyber-physical systems could expose vulnerabilities to an adversary. Here, privacy leaks of step inputs to linear-time-invariant systems are mitigated through a…

eess.SY2020★ 1 cited

Bounding Privacy Leakage in Smart Buildings

Rijad Alisic, Marco Molinari, Philip E. Paré +1

Smart building management systems rely on sensors to optimize the operation of buildings. If an unauthorized user gains access to these sensors, a privacy leak may occur. This pape…

math.OC2017★ 2 cited

On the modeling of neural cognition for social network applications

Jieqiang Wei, Junfeng Wu, Marco Molinari +2

In this paper, we study neural cognition in social network. A stochastic model is introduced and shown to incorporate two well-known models in Pavlovian conditioning and social net…

eess.SY2015★ 3 cited

A benchmark for data-based office modeling: challenges related to CO dynamics

Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal +2

This paper describes a benchmark consisting of a set of synthetic measurements relative to an office environment simulated with the software IDA-ICE. The simulated environment repr…