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Optimal Control: New Trends in Applications to Bioprocesses aims to bridge the gap between mathematical optimization methods to solve problems in dynamical systems and bioprocess modeling which involves various techniques to build mathematical models for applications in the bio-production of chemical and pharmaceutical products, covering different length and time scales, from single cells, to cell population, to bioreactors. The two fields are natural partners, however there is a disconnect and literature gap between the mathematical theory of optimal control and the optimization of systems arising in the field of bioprocesses engineering.
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Optimal Control: New Trends in Applications to Bioprocesses aims to bridge the gap between mathematical optimization methods to solve problems in dynamical systems and bioprocess modeling which involves various techniques to build mathematical models for applications in the bio-production of chemical and pharmaceutical products, covering different length and time scales, from single cells, to cell population, to bioreactors. The two fields are natural partners, however there is a disconnect and literature gap between the mathematical theory of optimal control and the optimization of systems arising in the field of bioprocesses engineering.