PhD Course: Control and Coordination in Cyber-Physical Systems

Published June 24, 2026 - 12:01

The increasing reliance on cyber-physical systems (CPSs) in applications such as autonomous robotics, intelligent transportation, and industrial automation has raised critical concerns about their resilience to cyber and operational disruptions. Ensuring reliable coordination and control in these distributed systems requires advanced strategies that can detect anomalies, mitigate disturbances, and maintain stability under adverse conditions.

This course provides a comprehensive introduction to resilient control strategies for CPSs, with a focus on leader-follower (LF) formations and distributed model predictive control (DMPC). Participants will explore potential vulnerabilities in CPSs, advanced anomaly detection methods, and mitigation strategies, including altruistic recovery mechanisms and adaptive formation reconfiguration. Additionally, the course will cover flexible leader-follower formations in dynamic environments, enabling robust decision-making in the presence of uncertainties and structural changes.

Theoretical concepts will be reinforced through simulation-based case studies, demonstrating real-world applicability in networked robotic systems and cooperative vehicle coordination.

  • Aula i2 (Cubo 42D, piano terra)

Monday, September 7: 10.00 - 12.00 AM 
Tuesday, September 8: 3:00–6:00 PM
Wednesday, September 9: 3:00–6:00 PM
Thursday, September 10: 3:00–5:00 PM
Friday, September 11: 3:00–5:00 PM

3 CFU

Teachers: 
Francesco Tedesco
Antonello Venturino
Hours: 
12