Abstract
Model order reduction 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 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 equations can be replaced by a much smaller set of analogous equations without sacrificing the accuracy of the input-to-output behavior.
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Benner, P., Faßbender, H. (2019). Model Order Reduction: Techniques and Tools. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_142-2
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_142-2
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Latest
Model Order Reduction: Techniques and Tools- Published:
- 09 October 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_142-2
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Original
Model Order Reduction: Techniques and Tools- Published:
- 19 April 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_142-1