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Last Updated: June 9, 2026
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In this lecture, we discuss the overarching goal of Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models ... In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab ... In this lecture, we connect the eigensystem realization algorithm (ERA) to Organizers: Timm Faulwasser, TU Dortmund, Germany Thulasi Mylvaganam, Imperial College London, UK Date and Time: ... In this lecture, we introduce the eigensystem realization algorithm (ERA), which is a purely
the webinar with project management experts Jan Willem Tromp and Mario Vanhoucke based on Prof. Vanhoucke's ... Prof. Dr.-Ing. Frank Allgöwer, University of Stuttgart, Germany.
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Data-Driven Control: Balanced Truncation Example
Data-Driven Control: The Goal of Balanced Model Reduction
Data-Driven Control: Balancing Example
Data-Driven Control: Balanced Truncation and BPOD Example
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