Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Robustness Analysis of Biological Models

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

Keywords

Robustness measure Parametric uncertainty Structural uncertainty Fragile perturbations Biochemical reaction networks 
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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Institute for Automation EngineeringOtto-von-Guericke-Universität MagdgeburgMagdeburgGermany
  2. 2.Institute for Systems Theory and Automatic ControlUniversity of StuttgartStuttgartGermany