Encyclopedia of Systems and Control

2015 Edition
| Editors: John Baillieul, Tariq Samad

Model Order Reduction: Techniques and Tools

  • Peter Benner
  • Heike Faßbender
Reference work entry
DOI: https://doi.org/10.1007/978-1-4471-5058-9_142


Model order reduction (MOR) is here understood as a computational technique to reduce the order of a dynamical system described by a set of ordinary or differential-algebraic equations (ODEs or DAEs) to facilitate or enable its simulation, the design of a controller, or optimization and design of the physical system modeled. It focuses on representing the map from inputs into the system to its outputs, while its dynamics are treated as a black box so that the large-scale set of describing ODEs/DAEs can be replaced by a much smaller set of ODEs/DAEs without sacrificing the accuracy of the input-to-output behavior.


Balanced truncation Interpolation-based methods Reduced-order models SLICOT Truncation-based methods 
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Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  • Peter Benner
    • 1
  • Heike Faßbender
    • 2
  1. 1.Max Planck Institute for Dynamics of Complex Technical SystemsMagdeburgGermany
  2. 2.Institut Computational MathematicsTechnische Universität BraunschweigBraunschweigGermany