Name
Abstract | ||
|---|---|---|
In this paper, the nonlinear dynamical system of batch fermentation is investigated in the bioconversion of glycerol to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae. Taking account of the kinetic behavior and experimental results in the batch cultures, we propose a two-stage dynamical system to formulate the fermentation process. Then some properties of the proposed system are proved. In view of the big errors between observations and numerical simulation results, we subsequently establish a parameter identification model to identify parameters in the system. The identifiability of the model is also discussed. Finally, in order to find the optimal parameters of the identification model, an improved simulated annealing algorithm combined with Hook-Jeeves local search is constructed. Numerical results show that the two-stage system can describe the factual fermentation better and the optimization algorithm is valid. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400148 | CDC |
Keywords | Field | DocType |
batch fermentation,klebsiella pneumoniae,fermentation,parameter estimation,simulated annealing algorithm,numerical analysis,nonlinear dynamical systems,glycerol bioconversion,numerical simulation,hook jeeves local search,microbial batch culture modeling,parameter identification,simulated annealing,nonlinear dynamical system,fermentation process,biomass,kinetics,local search,dynamic system,kinetic theory,computational modeling | Simulated annealing,Mathematical optimization,Computer simulation,Identifiability,Computer science,Bioconversion,Estimation theory,Local search (optimization),Numerical analysis,Dynamical system | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaohua Gong | 1 | 22 | 5.31 |
| Chongyang Liu | 2 | 31 | 5.81 |
| Enmin Feng | 3 | 111 | 24.41 |