Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks
This paper is concerned with positive stability analysis and bio-circuits design for nonlinear biochemical networks. A fuzzy interpolation approach is employed to approximate nonlinear biochemical networks. Based on the Lyapunov stability theory, sufficient conditions are developed to guarantee the...
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2013-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/717489 |
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doaj-d46e3767c48047d1b635ab53f70a0f2c2020-11-24T21:30:07ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/717489717489Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical NetworksYonghui Sun0Zhinong Wei1Guoqiang Sun2College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaThis paper is concerned with positive stability analysis and bio-circuits design for nonlinear biochemical networks. A fuzzy interpolation approach is employed to approximate nonlinear biochemical networks. Based on the Lyapunov stability theory, sufficient conditions are developed to guarantee the equilibrium points of nonlinear biochemical networks to be positive and asymptotically stable. In addition, a constrained bio-circuits design with positive control input is also considered. It is shown that the conditions can be formulated as a solution to a convex optimization problem, which can be easily facilitated by using the Matlab LMI control toolbox. Finally, a real biochemical network model is provided to illustrate the effectiveness and validity of the obtained results.http://dx.doi.org/10.1155/2013/717489 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yonghui Sun Zhinong Wei Guoqiang Sun |
spellingShingle |
Yonghui Sun Zhinong Wei Guoqiang Sun Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks Abstract and Applied Analysis |
author_facet |
Yonghui Sun Zhinong Wei Guoqiang Sun |
author_sort |
Yonghui Sun |
title |
Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks |
title_short |
Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks |
title_full |
Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks |
title_fullStr |
Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks |
title_full_unstemmed |
Positive Stability Analysis and Bio-Circuit Design for Nonlinear Biochemical Networks |
title_sort |
positive stability analysis and bio-circuit design for nonlinear biochemical networks |
publisher |
Hindawi Limited |
series |
Abstract and Applied Analysis |
issn |
1085-3375 1687-0409 |
publishDate |
2013-01-01 |
description |
This paper is concerned with positive stability analysis and bio-circuits design for nonlinear biochemical networks. A fuzzy interpolation approach is employed to approximate nonlinear biochemical networks. Based on the Lyapunov stability theory, sufficient conditions are developed to guarantee the equilibrium points of nonlinear biochemical networks to be positive and asymptotically stable. In addition, a constrained bio-circuits design with positive control input is also considered. It is shown that the conditions can be formulated as a solution to a
convex optimization problem, which can be easily facilitated by using the Matlab LMI control toolbox. Finally, a real biochemical network model is provided to illustrate the effectiveness and validity of the obtained results. |
url |
http://dx.doi.org/10.1155/2013/717489 |
work_keys_str_mv |
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1725963850206937088 |