Giancarlo Ferrari Trecate

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

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

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.