A data-driven safety preserving control architecture for constrainedcyber-physical systems, IJRNC 2024
Paper: " A detection strategy for setpoint attacks against differential-drive robots," CONES, 2025 (Accepted)
Paper: " An Observer-Based Key Agreement Schemefor Remotely Controlled Mobile Robots," IFAC World Congress (IFAC), 2023 (Accepted)
Paper: " A Receding Horizon Trajectory Tracking Strategy for Input-Constrained Differential-Drive Robots via Feedback-Linearization", TCST, 2022
Vehicles Collision Avoidance with Smart Traffic Manager
Paper: "Guaranteed Collision-Free Reference Tracking in Constrained Multi Unmanned Vehicle Systems", TAC, 2021
Vehicle Formation and Obstacle Avoidance
Paper: " A distributed model predictive control strategy for constrained multi-vehicle systems moving in unknown environments", TIV, 2020.
Drone (UAV) moving among obstacles (experiment done at the RSL lab, Northeastern University)
Paper: " A hybrid command governor scheme for rotary wings unmanned aerial vehicles", TCST 2018.
Constrained Switching Systems
Paper: " Stabilization and reference tracking for constrained switching systems: A predictive control approach", ACSP, 2017
Obstacle Avoidance
Paper: " A receding horizon control strategy for autonomous vehicles in dynamic environments," TCST, 2016.
L-CSS and CDC 2022: "Encrypted Cloud-Based Set-Theoretic Model Predictive Control"
(Presenter A. M. Naseri)
CDC 2022: "A Robust Receding-Horizon Collision Avoidance
Strategy for Constrained Unmanned Ground
Vehicles Moving in Shared Planar Environments"
(Presenter S. Savehshemshaki)
CCTA 2020: "A receding horizon battery shortage prevention control strategy for electric unmanned vehicles". READ MORE
(Presenter S. Savehshemshaki)
CCTA 2020: "A receding horizon control strategy for constrained differential-drive robots moving in static unknown environments". READ MORE
(Presenter C. Tiriolo)
ACC 2021: Covert Channels in CPS. READ MORE
(Presenter A. Abdelwahab)
CASE 2022: "A Detection Strategy for Setpoint Attacks Against Differential-Drive Robots"
(Presenter M. Cersullo)