The main aim of our research is to design decentralized and distributed control strategies to control the collective behavior of complex network systems.
Our research is highly interdisciplinary and focuses on the broad area of network science, dynamical systems and control. The major challenge to uncover and exploit the interplay between, the inteconnecting structure and the collective behaviour of the ensemble. Particularly, we are interested in studying the mechanisms that allow large ensembles of interconected dynamical units to self-organize, evolve their network structure, and characterize their propensity to be controlled.
The theoretical work is complemented by its validation and implementation in several real-world applications spanning from power systems to biological networks.
We list below some of the specific research topics that are of our interest:
- Network Synchronization
- Contraction Theory
- Human Coordination and Synchronization
- Leadership Emergence in Networks
- Network Identification
- Network Evolution
- Pinning Control and leader-follower coordination
- Distributed Control
- Network Controllability