Dr. Tatiana Ilkova
Modelling and optimization of a class fermentation processes modelling and optimization of fermentation processes Water Quality and Pollution Assessment Environmental Quality and Pollution Environmental Science and Water Management Water Quality and Resources Studies River pollution Environmental pollution Adaptive Dynamic Programming Control Optimal control Advanced Control Systems Optimization Biological systems engineering Environmental and Sediment Control Industrial Technology and Control Systems Water pollution Chemical and Environmental Engineering Research Control theory (sociology) Process Optimization and Integration Kluyveromyces marxianus Biochemical engineering Mathematical Control Systems and Analysis Artificial Intelligence Computational Theory and Mathematics Control and Systems Engineering Ecology Information Systems Management, Monitoring, Policy and Law Pollution Water Science and Technology

Bio

Dr. Tatiana Ilkova is a researcher affiliated with the Institute of Biophysics and Biomedical Engineering at the Bulgarian Academy of Sciences in Sofia, Bulgaria. Holding a Ph.D., her work focuses on the modeling and optimization of fermentation processes, with expertise spanning biochemical engineering, catalysis, process chemistry, and decision science. She has authored numerous publications, including studies on L-lysine neuro-dynamic optimal control and fuzzy optimization of whey fermentation. With over 30 works and 71 citations, Dr. Ilkova maintains an h-index of 5 and an i10-index of 1. She also serves as a reviewer for the Global Journal of Research in Engineering (GJRE) and contributes actively to the scientific community.

Educational Journey

Ph.D.

Experience

Institute of Biophysics and Biomedical Engineering

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Institute of Biophysics

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Research

L-lysine Neuro-Dynamic Optimal Control

Article January 1, 1970

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.