Robust bifurcation analysis for a genetic controller design problem for cell fate control

Research output: Contribution to journalArticle

Abstract

We propose a robustness analysis method for biomolecular controller design. First, we provide a computational method of bifurcation and robustness analysis for general nonlinear systems with dynamic uncertainties. We then apply the method to study a model that represents a genetic network system for controlling cell fates through external stimulus. In the network system, an artificial genetic controller is connected to the MAPK pathway. The proposed robust bifurcation method is used to determine design parameters of the controller for robustly achieving desired properties, in the presence of dynamic uncertainties.

Original languageEnglish
Pages (from-to)53-58
Number of pages6
JournalIFAC-PapersOnLine
Volume28
Issue number18
DOIs
Publication statusPublished - 2015 Nov 1

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Controllers
Bifurcation (mathematics)
Computational methods
Robustness (control systems)
Nonlinear systems
Uncertainty

Keywords

  • Bifurcation analysis
  • Biomolecular systems
  • Gene regulatory networks
  • Robustness analysis
  • Synthetic biology

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Robust bifurcation analysis for a genetic controller design problem for cell fate control. / Ikuta, Hikaru; Inoue, Masaki; Adachi, Shuichi.

In: IFAC-PapersOnLine, Vol. 28, No. 18, 01.11.2015, p. 53-58.

Research output: Contribution to journalArticle

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