OBIETTIVI FORMATIVI

The course aims at providing modeling and methodological approaches to sensing, actuation, and control in order to describe and analyze a system, and make decisions based on the available data in a distributed, predictive and/or adaptive manner, thereby performing “smart actions”. The student will approach such smart systems by studying proper models and methods in different applicative contexts, such as smart power grids, connected autonomous vehicles and platooning, energy efficient buildings, distributed logistics, and environmental monitoring.

MODALITA' DIDATTICHE

Lezione in aula ed esercitazioni su computer

PROGRAMMA/CONTENUTO

Introduction to complex systems

• Networked and smart systems
• Complex Systems Design Overview
• Strategic, tactical, and operational decision making

Control of a complex system

• Modelling predictive control (MPC)
  • Feedback systems
  • Receding horizon
  • Linear predictive control
  • MPC vs Linear Quadratic Control
• Dual decomposition
• Minimax team decision problems
• Generalised linear quadratic control
• Applications: energy efficient buildings, smart greenhouses, vehicle platooning, smart power grids.

Strategic and tactical decisions

• Risk based routing in a network: averse beahaviour and fuzzy objectives
• Vehicle routing versus inventory routing problems
• Applications: transport of dangerous goods

Reliability, Availbility, Maintenance, and Safety of a complex system