L-lysine Neuro-Dynamic Optimal Control

Dr. Tatiana Ilkova; Dr. Mitko Petrov

L-lysine Neuro-Dynamic Optimal Control

Dr. Tatiana Ilkova * § Ph.D.

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Dr. Mitko Petrov

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§ Institute of Biophysics and Biomedical Engineering, ...

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Abstract

In this paper Neuro-dynamic programming (NDP) is proposed as an alternative to alleviate the “curse of dimensionality” of the Dynamic programming (DP) for optimal control of a fed-batch fermentation process in the L-lysine production. The most effective and cheapest method for the Llysine biosynthesis (in biological active form) is the microbiological method via a direct fermentation. In this paper an optimization method of the L-lysine production from strain Brevibacterium flavum 22LD is used and that is NDP. The results show that the quality of L-lysine enhances at the end of the process. The proposed method is particularly simple to implement and can be applied for on-line optimization.

References

11 Cites in Article

Reference Format

D Bertsekas,J Tsitsiklis (1996). Neuro-dynamic programming: an overview.
Kurt Driessens,Sašo Džeroski (2004). Integrating Guidance into Relational Reinforcement Learning.
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T Ilkova,M Petrov (2008). Dynamic and neurodynamic optimization of a fed-batch fermentation process.
Savas Anastassiadis (2007). L-Lysine Fermentation.
A Soni,R Parker (2002). Fed-batch bioreactor control using a multi-scale model.
D Vlachos,A Mhadeshwar,N Kaisare (2006). Hierarchical multiscale model-based design of experiments, catalysts, and reactors for fuel processing.
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Zh Xiong,J Zhang (2005). Neural Network model-based on-line re-optimisation control of fedbatch processes using a modified iterative dynamic programming algorithm.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Ilkova, Dr. Petrov. 1970. "L-lysine Neuro-Dynamic Optimal Control". Global Journal of Medical Research GJMR Volume 11 (GJMR Volume 11 Issue 4).

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GJMR Volume 11 Issue 4

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

dynamic programming Llysine fermentation Neural Network Optimal control

Submission ReceivedOctober 27, 2011
Peer Review Double Blind
Handling Editor
Accepted November 20, 2011
Published December 4, 2011

Version of record

v1.2

Issue date

December 23, 2011

Language

English

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Article Matrices

Total Score: 152

Country: Bulgaria

Subject: Global Journal of Medical Research

Authors: Dr. Tatiana Ilkova, Dr. Mitko Petrov (PhD/Dr. count: 2)

View Count (all-time): 304

Total Views (Real + Logic): 5684

Total Downloads (simulated): 448

Publish Date: 2011 12, Sun

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Total Views: 5.7K

Total Downloads: 448

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