Giancarlo Ferrari Trecate

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

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

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Administrative data

Fields of expertise

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

Publications

Infoscience publications

Teaching & PhD

Teaching

Mechanical Engineering

PhD Programs

Doctoral Program in Electrical Engineering

Doctoral program in robotics, control, and intelligent systems

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 given to discrete-time systems, due to their relevance for digital and embedded control architectures.

Networked control systems