Modeling, optimization, and control of complex and networked systems
We research on novel paradigms to model, optimize and control complex and networked systems. In particular, our attention is focused on networks consisting of heterogeneous agents, and with time-varying links. Main applications are epidemic models, diffusion of innovation, biological systems, financial and bank transactions, synchronization and consensus, coordination of robotic agents
Link:
ERC Sector:
- PE7_3 Simulation engineering and modelling
- PE7_8 Networks (communication networks, networks of sensors, robots...)
- LS7_9 Public health and epidemiology
Keywords:
- Complex Networks
- Complex Systems
- Digital Epidemiology
- Robot coordination
Research groups
Contact
- RIZZO ALESSANDRO - Manager
- NOVARA CARLO