On-line state estimation of bioprocesses with full horizon observers

DOI10.1016/S0378-4754(01)00312-3zbMath0972.92010MaRDI QIDQ5939989

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Publication date: 21 November 2001

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

zbMATH Keywords

nonlinear systemsstate estimationbioprocessesbiotechnologycell culturesKalman filtersmaximum likelihood estimatorsstate observers

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Estimation and detection in stochastic control theory (93E10) Biochemistry, molecular biology (92C40) Control/observation systems governed by ordinary differential equations (93C15) Physiological, cellular and medical topics (92C99)

Related Items (2)

Transient analysis of a wastewater treatment biofilter – distributed parameter modelling and state estimation ⋮ Experimental validation of a full-horizon interval observer applied to hybridoma cell cultures

Cites Work

• Unnamed Item
• Dynamic system identification. Experiment design and data analysis
• Stochastic processes and filtering theory
• A simple observer for nonlinear systems applications to bioreactors

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