Intervention in biological phenomena modeled by S-systems

Nader Meskin, Hazem Nounou, Mohamed Nounou, Aniruddha Datta, Edward R. Dougherty

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Recent years have witnessed extensive research activity in modeling biological phenomena as well as in developing intervention strategies for such phenomena. S-systems, which offer a good compromise between accuracy and mathematical flexibility, are a promising framework for modeling the dynamical behavior of biological phenomena. In this paper, two different intervention strategies, namely direct and indirect, are proposed for the S-system model. In the indirect approach, the prespecified desired values for the target variables are used to compute the reference values for the control inputs, and two control algorithms, namely simple sampled-data control and model predictive control (MPC), are developed for transferring the control variables from their initial values to the computed reference ones. In the direct approach, a MPC algorithm is developed that directly guides the target variables to their desired values. The proposed intervention strategies are applied to the glycolyticglycogenolytic pathway and the simulation results presented demonstrate the effectiveness of the proposed schemes.

Original languageEnglish
Article number5668500
Pages (from-to)1260-1267
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume58
Issue number5
DOIs
Publication statusPublished - May 2011

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Keywords

  • Genetic regulatory networks
  • intervention
  • model predictive control
  • S-systems

ASJC Scopus subject areas

  • Biomedical Engineering

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