Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor
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Ricardo Aguilar-López
The objective of this work is to infer the biomass and product concentrations in a class of bioreactor, under the assumption of substrate measurements. This is done by employing a mathematical model of a continuous stirred bioreactor where the corresponding kinetic term is experimentally corroborated. The observer's structure contains, as usual, a predictive term given for nominal model plus a corrective term, which is proposed as adaptive one, where the corresponding observer's gain obey a specific dynamic equation, which provides an exponential convergence characteristic, under the Lipschitz assumption of the system. Numerical simulations show an adequate performance of the proposed observer and a comparison with a finite-time observer is done.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Process Modeling & Control: A Special Issue of Chemical Product & Process Modeling
- Determination of Kinetic and Stoichiometric Parameters of Pseudomonas putida F1 by Chemostat and In Situ Pulse Respirometry
- Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor
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- Dynamic Process and Accident Simulations as Tools to Prevent Industrial Accidents
- Modeling Disturbance Dynamics to Improve Controller Performance in Industrial Loops
- On the Design of an In-Line Control System for a Vial Freeze-Drying Process: The Role of Chamber Pressure
- A Takagi-Sugeno Fuzzy Dynamic Model of a Concentric-Tubes Heat Exchanger
- Design of Dynamics of a Recuperative Catalytic Combustor: Enhancement in Operation and Control
- Formulation and Spectral Reduction of the Dynamical Model of a Circulating Fluidized Bed Combustor
