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Robustness Analysis of Biological Models

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Encyclopedia of Systems and Control

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Abstract

Robustness analysis is the process of checking whether a system’s function is maintained despite perturbations. Robustness analysis of biological models is typically applied to differential equation models of biochemical reaction networks. While robustness is primarily a yes-or-no question, for many applications in biological models, it is also desired to compute a quantitative robustness measure. Such a measure is usually defined to be the maximum size of perturbations that the system can still tolerate. In addition, it is often of interest to specifically compute fragile perturbations, i.e., perturbations for which the system loses its function.

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Authors and Affiliations

  1. Institute for Automation Engineering, Otto-von-Guericke-Universität Magdgeburg, Magdeburg, Germany

    Steffen Waldherr

  2. Institute for Systems Theory and Automatic Control, University of Stuttgart, Stuttgart, Germany

    Frank Allgöwer

Authors
  1. Steffen Waldherr
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  2. Frank Allgöwer
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Corresponding author

Correspondence to Steffen Waldherr .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, Minnesota, USA

    Tariq Samad

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© 2014 Springer-Verlag London

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Waldherr, S., Allgöwer, F. (2014). Robustness Analysis of Biological Models. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_93-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_93-1

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  • Publisher Name: Springer, London

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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