Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks
A set of distributed robust finite-time state observers was developed and tested to estimate the main biochemical substances in interconnected metabolic networks with complex structure. The finite-time estimator was designed by composing several supertwisting based step-by-step state observers. This...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/6879013 |
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| author | Alfonso Sepulveda-Galvez Jesus A. Badillo-Corona Isaac Chairez |
| author_facet | Alfonso Sepulveda-Galvez Jesus A. Badillo-Corona Isaac Chairez |
| author_sort | Alfonso Sepulveda-Galvez |
| collection | DOAJ |
| description | A set of distributed robust finite-time state observers was developed and tested to estimate the main biochemical substances in interconnected metabolic networks with complex structure. The finite-time estimator was designed by composing several supertwisting based step-by-step state observers. This segmented structure was proposed accordingly to the partition of metabolic network obtained as a result of applying the observability analysis of the model used to represent metabolic networks. The observer was developed under the assumption that a sufficient and small number of intracellular compounds can be obtained by some feasible analytic techniques. These techniques are enlisted to demonstrate the feasibility of designing the proposed observer. A set of numerical simulations was proposed to test the observer design over the hydrogen producing metabolic behavior of Escherichia coli. The numerical evaluations showed the superior performance of the observer (on recovering immeasurable state values) over classical approaches (high gain). The variations of internal metabolites inserted in the hydrogen productive metabolic networks were collected from databases. This information supplied to the observer served to validate its ability to recover the time evolution of nonmeasurable metabolites. |
| format | Article |
| id | doaj-art-4033a57dcd0a4c79b3c23b44aea42e64 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4033a57dcd0a4c79b3c23b44aea42e642025-08-20T03:55:36ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/68790136879013Distributed Finite-Time State Estimation of Interconnected Complex Metabolic NetworksAlfonso Sepulveda-Galvez0Jesus A. Badillo-Corona1Isaac Chairez2SEPI-UPIBI, Instituto Politécnico Nacional, 07340 Mexico City, MexicoDepartment of Bioprocesses, UPIBI, Instituto Politécnico Nacional, 07340 Mexico City, MexicoDepartment of Bioprocesses, UPIBI, Instituto Politécnico Nacional, 07340 Mexico City, MexicoA set of distributed robust finite-time state observers was developed and tested to estimate the main biochemical substances in interconnected metabolic networks with complex structure. The finite-time estimator was designed by composing several supertwisting based step-by-step state observers. This segmented structure was proposed accordingly to the partition of metabolic network obtained as a result of applying the observability analysis of the model used to represent metabolic networks. The observer was developed under the assumption that a sufficient and small number of intracellular compounds can be obtained by some feasible analytic techniques. These techniques are enlisted to demonstrate the feasibility of designing the proposed observer. A set of numerical simulations was proposed to test the observer design over the hydrogen producing metabolic behavior of Escherichia coli. The numerical evaluations showed the superior performance of the observer (on recovering immeasurable state values) over classical approaches (high gain). The variations of internal metabolites inserted in the hydrogen productive metabolic networks were collected from databases. This information supplied to the observer served to validate its ability to recover the time evolution of nonmeasurable metabolites.http://dx.doi.org/10.1155/2018/6879013 |
| spellingShingle | Alfonso Sepulveda-Galvez Jesus A. Badillo-Corona Isaac Chairez Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks Complexity |
| title | Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks |
| title_full | Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks |
| title_fullStr | Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks |
| title_full_unstemmed | Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks |
| title_short | Distributed Finite-Time State Estimation of Interconnected Complex Metabolic Networks |
| title_sort | distributed finite time state estimation of interconnected complex metabolic networks |
| url | http://dx.doi.org/10.1155/2018/6879013 |
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