Course

ME-717: Neural Networks for Optimal Control

Summary

The effectiveness of control algorithms in large-scale cyber-physical systems relies not only on advancements in sensing, computation, and communication but also on the availability of methods to design controllers capable of stabilizing nonlinear systems under nominal operating conditions.

Lectures

Instructors (3)

Giancarlo Ferrari Trecate

Expertise Automatic control, Dependable control, Neural-network Control, Machine learning, Microgrids, Hybrid systems Mission See the webpage of the DECODE (Dependable Control and Decision) group. Teaching & PhD PhD Students Laura Meroi, Julien Pallage, Nicolas Léo Pierre Kirsch, Simone Baratto, Daniele Martinelli, Riccardo Cescon, Jakob Nylöf, Sabri El Amrani Past EPFL PhD Students Pulkit Nahata, Mustafa Sahin Turan, Baiwei Guo, Jean-Sébastien Brouillon, Clara Galimberti, Andrea Martin, Muhammad Zakwan,

Danilo Saccani

Leonardo Massai

Official source

https://edu.epfl.ch/coursebook/en/neural-networks-for-optimal-control-ME-717

Moodle Page

http://go.epfl.ch/ME-717

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