this paper presents a predictive control strategy based on neural network model of the plant is applied to Continuous Stirred Tank Reactor (CSTR). This system is a highly nonlinear process; therefore, a nonlinear predictive method, e.g., neural network predictive control, can be a better match to govern the system dynamics. In the paper, the NN model and the way in which it can be used to predi...

Control of dissolved oxygen tension (DOT) in stirred tank bioreactors (STB) is commonly performed by manipulation gas flow or agitation. However, control systems using this strategy directly alter hydrodynamic conditions thus interrelating and momentum transfer effects the culture. The aim study was to develop evaluate an alternative DOT system algorithm that allows further separately. A novel ...

The dynamics of a network of autocatalytically replicating species in a continuously stirred tank reactor can be described by a replicator equation in the limit of small flux rates.

The depletion of fossil fuels and the emission greenhouse gases have increased demand for new sustainable energy sources, leading to growing interest in using fast-growing filamentous fungi as a source bioenergy. This study aimed optimize production exopolysaccharides (EPS) mycelial biomass (MB) from native medicinal mushroom, Lignosus rhinocerus, through submerged liquid fermentation. Using re...