activity
20222026
most citedRobust Data-Driven Tube-Based Zonotopic Predictive Control with Closed-Loop Guarantees

4 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

Sustainable Heating with Karma: A Simulation Study of the KTH Live-In Lab

Mahsa Farjadnia, Ezzat Elokda, Angela Fontan +1

Space heating in buildings accounts for 10% of the global CO2 footprint. The widespread adoption of energy-efficient heating technology, e.g., heat pumps, could help reduce this fi…

eess.SY2026

Generalizability of Learning-based Occupancy Detection in Residential Buildings (extended version)

Mahsa Farjadnia, Katayoun Eshkofti, Albin Apell +4

This paper investigates non-intrusive occupancy detection methods for residential buildings using environmental sensor data from the KTH Live-In Lab in Stockholm, Sweden. Three mac…

eess.SY2024★ 4 cited

Robust Data-Driven Tube-Based Zonotopic Predictive Control with Closed-Loop Guarantees

Mahsa Farjadnia, Angela Fontan, Amr Alanwar +2

This work proposes a robust data-driven tube-based zonotopic predictive control (TZPC) approach for discrete-time linear systems, designed to ensure stability and recursive feasibi…

eess.SY2023

Social interactions for a sustainable lifestyle: The design of an experimental case study

Angela Fontan, Mahsa Farjadnia, Joe Llewellyn +4

Every day we face numerous lifestyle decisions, some dictated by habits and some more conscious, which may or may not promote sustainable living. Aided by digital technology, susta…

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…