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High-Performance Discrete Bifurcation Analysis for Piecewise-Affine Dynamical Systems

Part of the Lecture Notes in Computer Science book series (LNBI,volume 9271)

Abstract

Analysis of equilibria, their stability and instability, is an unavoidable ingredient of model analysis in systems biology. In particular, bifurcation analysis which focuses on behaviour of phase portraits under variations of parameters is of great importance. We propose a novel method for bifurcation analysis that employs coloured model checking to analyse phase portraits bifurcation in rectangular abstractions of piecewise-affine systems. The algorithm works on clusters of workstations and multi-core computers to allow scalability. We demonstrate the method on a repressilator genetic regulatory network.

Keywords

  • Model Check
  • Phase Portrait
  • Atomic Proposition
  • Kripke Structure
  • Kinetic Function

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work has been supported by the Czech Science Foundation grant No. GA15-11089S.

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Correspondence to David Šafránek .

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Brim, L., Demko, M., Pastva, S., Šafránek, D. (2015). High-Performance Discrete Bifurcation Analysis for Piecewise-Affine Dynamical Systems. In: Abate, A., Šafránek, D. (eds) Hybrid Systems Biology. HSB 2015. Lecture Notes in Computer Science(), vol 9271. Springer, Cham. https://doi.org/10.1007/978-3-319-26916-0_4

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  • DOI: https://doi.org/10.1007/978-3-319-26916-0_4

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