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Efficient Modeling and Control of Large-Scale Systems pp 59–72Cite as

Efficient Model Reduction for the Control of Large-Scale Systems

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Abstract

When analyzing and controlling large-scale systems, it is extremely important to develop efficient modeling processes. The key dynamic elements must be identified and spurious dynamic elements eliminated. This allows the controls engineer to implement the optimal control strategy for the problem at hand. Model reduction techniques provide an extremely effective way to address this requirement.

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Author information

Authors and Affiliations

  1. Viking Aerospace LLC, 100 Riverfront Road, Suite B, Lawrence, KS, 66044, USA

    Richard Colgren (Vice President and Chief Scientist)

Authors
  1. Richard Colgren
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Correspondence to Richard Colgren .

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Editors and Affiliations

  1. Dept. Mechanical Engineering, University of Houston, Calhoun Road 4800, Houston, 77204-4006, USA

    Javad Mohammadpour

  2. Dept. Mechanical Engineering, University of Houston, Calhoun Road 4800, Houston, 77204-4006, USA

    Karolos M. Grigoriadis

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Colgren, R. (2010). Efficient Model Reduction for the Control of Large-Scale Systems. In: Mohammadpour, J., Grigoriadis, K. (eds) Efficient Modeling and Control of Large-Scale Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5757-3_2

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  • DOI: https://doi.org/10.1007/978-1-4419-5757-3_2

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5756-6

  • Online ISBN: 978-1-4419-5757-3

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