Giancarlo Ferrari Trecate

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giancarlo.ferraritrecate@epfl.ch +41 21 693 42 12 https://www.epfl.ch/labs/decode/

EPFL STI IGM SCI-STI-GFT
ME C2 398 (Bâtiment ME)
Station 9
1015 Lausanne

+41 21 693 42 12
+41 21 693 38 45
Office: ME C2 398
EPFL > STI > IGM > SCI-STI-GFT

Web site: Web site: https://www.epfl.ch/labs/decode/

+41 21 693 42 12
EPFL > STI > STI-SGM > SGM-ENS

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Administrative data

Fields of expertise

Automatic control, state estimation, system identification, machine learning, distributed control, hybrid systems, microgrids, biochemical networks.

Mission

See the webpage of the DECODE (Dependable Control and Decision) group.

Publications

Infoscience publications

Teaching & PhD

Teaching

Mechanical Engineering

PhD Students

Cescon Riccardo, Ghoddousiboroujeni Mahrokh, Kirsch Nicolas Léo Pierre, Martin Andrea, Martinelli Daniele, Meroi Laura, Nylöf Lars Jakob, Zakwan Muhammad, Zhu Pengbo,

Past EPFL PhD Students

Brouillon Jean-Sébastien Hubert , Galimberti Clara Lucía , Guo Baiwei , Nahata Pulkit , Turan Mustafa Sahin ,

Courses

Multivariable control

This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embedded control architectures.

Networked control systems

This course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportunities offered by communication will be analyzed.