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Applied Computational Intelligence and Soft Computing
Volume 2018, Article ID 8075051, 10 pages
https://doi.org/10.1155/2018/8075051
Research Article

Simulink-Based Analysis for Coupled Metabolic Systems

Department of Electrical Engineering, Da-Yeh University, 40352, Taiwan

Correspondence should be addressed to Shinq-Jen Wu; wt.ude.uyd.liam@nej

Received 23 May 2018; Revised 23 October 2018; Accepted 30 October 2018; Published 2 December 2018

Academic Editor: Miin-Shen Yang

Copyright © 2018 Shinq-Jen Wu and Cheng-Tao Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Stability analysis and dynamic simulation are important for researchers to capture the performance and the properties of underling systems. S-systems have good potential for characterizing dynamic interactive behaviour of large scale metabolic and genetic systems. It is important to develop a platform to achieve timely dynamic behaviour of S-systems to various situations. In this study, we first set up the respective block diagrams of S-systems for module-based simulation. We then derive reasonable theorems to examine the stability of S-systems and find out what kinds of environmental situations will make systems stable. Three canonical systems are used to examine the results which are carried out in the Matlab/Simulink environments.