Michel Verhaegen

Title: Identification of Networks of Dynamic Systems

Abstract: This presentation consists of two parts. First an overview will be given of the new book "M. Verhaegen, Y. Chengpu and B. Sinquin, "Data-Driven Identification of Networks of Dynamic Systems", Cambridge University Press 2022". In this book a framework is defined to identify large scale networks of dynamical systems with special attention to the structural element to parametrize these large scale networks and efficiently estimating these parameters. Then in the second part we zoom in into a critical problem to identify local systems operating in such large scale networks using local data and local methods only. The latter creating the possibility to implement these methods in a distributed fashion.

Mario Coutiño Minguez

Title: State-Space Network Topology Identification From Partial Observations

Abstract: This presentation explores a novel state-space approach to network topology identification from partial observations. We leverage subspace identification techniques, typically used in system identification, to reconstruct the network's underlying structure. This approach offers a unified perspective on network control and signal processing on graphs.