Simulink-Based Analysis for Coupled Metabolic Systems
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 platfo...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2018/8075051 |
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| _version_ | 1849410484033290240 |
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| author | Shinq-Jen Wu Cheng-Tao Wu |
| author_facet | Shinq-Jen Wu Cheng-Tao Wu |
| author_sort | Shinq-Jen Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-817c61530bb946c19ced0e138d907c8a |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-817c61530bb946c19ced0e138d907c8a2025-08-20T03:35:06ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322018-01-01201810.1155/2018/80750518075051Simulink-Based Analysis for Coupled Metabolic SystemsShinq-Jen Wu0Cheng-Tao Wu1Department of Electrical Engineering, Da-Yeh University, 40352, TaiwanDepartment of Electrical Engineering, Da-Yeh University, 40352, TaiwanStability 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.http://dx.doi.org/10.1155/2018/8075051 |
| spellingShingle | Shinq-Jen Wu Cheng-Tao Wu Simulink-Based Analysis for Coupled Metabolic Systems Applied Computational Intelligence and Soft Computing |
| title | Simulink-Based Analysis for Coupled Metabolic Systems |
| title_full | Simulink-Based Analysis for Coupled Metabolic Systems |
| title_fullStr | Simulink-Based Analysis for Coupled Metabolic Systems |
| title_full_unstemmed | Simulink-Based Analysis for Coupled Metabolic Systems |
| title_short | Simulink-Based Analysis for Coupled Metabolic Systems |
| title_sort | simulink based analysis for coupled metabolic systems |
| url | http://dx.doi.org/10.1155/2018/8075051 |
| work_keys_str_mv | AT shinqjenwu simulinkbasedanalysisforcoupledmetabolicsystems AT chengtaowu simulinkbasedanalysisforcoupledmetabolicsystems |