Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing BioreactorChemical Product and Process Modeling (2009)
AbstractThe 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.
- state estimation,
- exponential convergence,
- bioreactor model
Publication DateJuly 14, 2009
Citation InformationRicardo Aguilar-López and Ricardo Acevedo-Gómez. "Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor" Chemical Product and Process Modeling Vol. 4 Iss. 2 (2009)
Available at: http://works.bepress.com/ricardo_aguilar_lopez/12/