Subspace identification for continuous-time stochastic systems via distribution-based approach
Automatica (Journal of IFAC)
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This paper deals with the problem of on-line state estimation and identification for a fed-batch bioprocess, which is in fact a lipase production process that takes place inside a Fed-batch Bioreactor. The lipase production process is highly nonlinear and, furthermore, the available on-line measurements are lack and the reaction kinetics is not perfectly known. Some on-line state estimation strategies based on extended Luenberger observer and asymptotic observer approach are proposed. The unknown kinetic parameters of the bioprocess are estimated by using a distribution based identification technique. The performance of the proposed estimation strategies is analysed using numerical simulation.