NDLI: Parameter identification of bacterial growth bioprocesses

Content Provider	IEEE Xplore Digital Library
Author	Sendrescu, D.
Copyright Year	2012
Description	Author affiliation: University of Craiova, Department of Automatic Control, A.I. Cuza no. 13, 200585 - Craiova, Romania (Sendrescu, D.)
Abstract	This paper deals with the off-line parameters identification for a class of bioprocesses. The proposed algorithm transforms the system of differential equations that models the bioprocess into a system of algebraic equations with respect to unknown parameters. The relation between the state variables is represented by functionals using techniques from distribution theory. A hierarchical structure of identification it is used, which allows obtaining a linear algebraic system of equations in the unknown parameters. The coefficients of this algebraic system are functionals depending on the input and state variables evaluated through some test functions from distribution theory. First, only some state equations are evaluated throughout test functions to obtain a set of linear equations in parameters. The results of this first stage of identification are used to express other parameters by linear equations. The process is repeated until all parameters are identified. The performances of the method are analyzed by numerical simulations.
Starting Page	1
Ending Page	6
File Size	368959
Page Count	6
File Format	PDF
ISBN	9781467345347
e-ISBN	9786068348469
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-12
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Dunarea de Jos University
Subject Keyword	Parameter estimation Biological system modeling Differential equations Vectors Kinetic theory Mathematical model Equations
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Parameter identification of bacterial growth bioprocesses using particle swarm optimization

An EKF based on an enhanced model for parameter estimation in bioprocesses

Parameter identification of bacterial growth bioprocesses using heuristics for global optimization

The problem of distinguishability of state space models

Kinetic model parameter estimation by hybrid differential evolution algorithm

Structure identification and parameter estimation of biological s-systems

A hybrid differential evolution algorithm for nonlinear parameter estimation of kinetic systems

Least squares identification method for differential equations of gene regulatory networks

Modeling of bacterial growth bioprocesses based on heuristic optimization techniques

Parameter identification of bacterial growth bioprocesses

Similar Documents

Parameter identification of bacterial growth bioprocesses using particle swarm optimization

An EKF based on an enhanced model for parameter estimation in bioprocesses

Parameter identification of bacterial growth bioprocesses using heuristics for global optimization

The problem of distinguishability of state space models

Kinetic model parameter estimation by hybrid differential evolution algorithm

Structure identification and parameter estimation of biological s-systems

A hybrid differential evolution algorithm for nonlinear parameter estimation of kinetic systems

Least squares identification method for differential equations of gene regulatory networks

Modeling of bacterial growth bioprocesses based on heuristic optimization techniques

Parameter identification of bacterial growth bioprocesses