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SUMMARY:Identification and model reduction of complex network systems - Dr
 . Xiaodong Cheng\, Eindhoven University of Technology
DTSTART:20201203T140000Z
DTEND:20201203T150000Z
UID:TALK154177@talks.cam.ac.uk
CONTACT:Thiago Burghi
DESCRIPTION:Complex network systems are becoming ever more prevalent in ou
 r society. The term ‘complex’ refers to large-scale topological featur
 es of the interactions as well as high-dimensional dynamics from different
  physical domains. The overwhelming complexity of these systems poses sign
 ificant challenges in the systems and control domain how to effectively an
 d efficiently analyse and control these systems. In this presentation\, I 
 will introduce my research on scalable modelling and complexity reduction 
 in dynamic networked systems. The first part considers identification prob
 lem in complex networks\, which aims to allocate external excitation signa
 ls such that all the dynamics in a network can be identified from data. Th
 e second part is focused on model-order reduction of structured networked 
 systems that is to reduce the dimension of a complex network system while 
 retain all the salient structures and dynamics in the network avoiding unn
 ecessary redundancy.\n\nZoom meeting link: https://zoom.us/j/93541687585
LOCATION:Online (Zoom)
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