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Scalable Control Design for Cyberphysical Systems

Advances in computation, communication and embedded systems are enabling the deployment of cyberphysical systems of unprecedented complexity. This trend must be paralleled by new approaches in networked control, adapted to large-scale interconnections of subsystems that interact and exchange information. In this talk we will address scalability of control design, focusing on methods where the complexity of synthesising a local controller is independent of the size of the overall system. Scalable design is especially needed in industrial applications where the number of subsystems changes over time, sensors and actuators are frequently replaced, or no global model of the plant is available. We will present methods for plug-and-play design of local controllers, enabling the seamless addition and removal of subsystems while denying automatically plugging in and out requests that are dangerous for safety or stability.

As an application, we will discuss plug-and-play design of voltage controllers for microgrids, allowing connection and disconnection of generation units while preserving overall voltage stability. This is a first step towards the deployment of multi-owner, autonomous energy islands with flexible size and topology. The final part of the talk will be devoted to research perspectives towards enhanced adaptivity and autonomy of cyberphysical control systems.

Type of Seminar:
Control Seminar Series
Prof. Giancarlo Ferrari Trecate
Nov 21, 2016   17:15

Contact Person:

Sabrima Baumann
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Biographical Sketch:
Giancarlo Ferrari Trecate received the Ph.D. degree in Electronic and Computer Engineering from the Universita‘ degli Studi di Pavia in 1999. Since September 2016 he is Professor at EPFL, Lausanne, Switzerland. In spring 1998, he was a Visiting Researcher at the Neural Computing Research Group, University of Birmingham, UK. In fall 1998, he joined as a Postdoctoral Fellow the Automatic Control Laboratory, ETH, Zurich, Switzerland. He was appointed Oberassistent at ETH, in 2000. In 2002, he joined INRIA, Rocquencourt, France, as a Research Fellow. From March to October 2005, he was researcher at the Politecnico di Milano, Italy. From 2005 to August 2016, he has been Associate Professor at the Dipartimento di Ingegneria Industriale e dell‘Informazione of the Universita‘ degli Studi di Pavia.

His research interests include scalable control, microgrids, modelling and analysis of biochemical networks, hybrid systems and Bayesian learning.

Giancarlo Ferrari Trecate was the recipient of a PostDoc Grant from the University of Pavia in 1999 and the Researcher Mobility Grant from the Italian Ministry of Education, University and Research in 2005. He is currently a member of the IFAC Technical Committee on Control Design, the Technical Committee on Systems Biology of the IEEE SMC society and he is member of the editorial board of Automatica and Nonlinear Analysis: Hybrid Systems.