Giancarlo Ferrari Trecate

Giancarlo Ferrari Trecate is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Mechanical Engineering (ME). His research is associated with the Dependable Control and Decision group, focusing on areas such as automatic control, dependable control, neural-network control, machine learning, microgrids, and hybrid systems. He teaches courses including Multivariable Control (ME-422) and Networked Control Systems (ME-427). His website provides additional information on his research, teaching, and publications.

Giancarlo Ferrari Trecate is a researcher at École Polytechnique Fédérale de Lausanne, focusing on dependable control, neural-network control, machine learning, microgrids, and hybrid systems. His work addresses challenges in control theory and applications, particularly in the context of distributed systems and networked environments. He has contributed to the analysis and control of hybrid systems, consensus algorithms for multi-agent systems, and decentralized control strategies for microgrids. His research also explores observability, controllability, and identification techniques for complex dynamic systems. His publications highlight the integration of machine learning with control theory to enhance system performance and reliability in energy and cyber-physical systems.