Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

227-0690-09L
Advanced Topics in Control

Professor(en):
F. Dörfler
Betreuer:
B. Gentile, B.K. Poolla, C. Arghir, L. Furieri
Vorlesung:
Link zum Kurskatalog
Spring 2018
Webseite:
http://control.ee.ethz.ch/~ifaatic
Ziele:
The intent is to introduce students to advanced research level topics in the area of automatic control. The course is jointly organized by Prof. R. D'Andrea, L. Guzzella, J. Lygeros, M. Morari, R. Smith, and F. Dörfler. Coverage and instructor varies from semester to semester. Repetition for credit is possible, upon consent of the instructor. During the Spring Semester 2017 the class will be taught by F. Dörfler and will focus on distributed systems and control.
Vorlesungslevel:
D-ITET Master, Systems and Control specialization
Recommended Core Courses
Voraussetzungen:
Control systems (227-0216-00L), Linear system theory (227-0225-00L), or equivalents, as well as sufficient mathematical maturity.
Inhalt:
Distributed control systems include large-scale physical systems, engineered multi-agent systems, as well as their interconnection in cyber-physical systems. Representative examples are the electric power grid, camera networks, and robotic sensor networks. The challenges associated with these systems arise due to their coupled, distributed, and large-scale nature, and due to limited sensing, communication, and control capabilities. This course covers modeling, analysis, and design of distributed control systems.

Topics covered in the course include

• the theory of graphs (with an emphasis on algebraic and spectral graph theory)
• basic models of multi-agent and interconnected dynamical systems
• continuous-time and discrete-time distributed averaging algorithms (consensus)
• coordination algorithms for rendezvous, formation, flocking, and deployment
• applications in robotic coordination, coupled oscillators, social networks, sensor networks, electric power grids, epidemics, and positive systems

Dokumentation:

A set of self-contained set of lecture nodes will be made available.