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An adaptive control strategy for a class of recycled depollution bioprocesses
This paper presents the design of a nonlinear multivariable adaptive control strategy for a class of wastewater depollutionbioprocesses that are carried out in recycle bioreactors. The adaptive control structure is achieved by combining a linearizing controllaw with a new state observer and a parameter estimator, which play the role of the software sensors for on-line estimation of biologicalstates and parameter variables of interest of the bioprocess. Simulation results are included to illustrate the performance of bothestimation and control algorithms.
An adaptive control strategy for a class of recycled depollution bioprocesses
This paper presents the design of a nonlinear multivariable adaptive control strategy for a class of wastewater depollutionbioprocesses that are carried out in recycle bioreactors. The adaptive control structure is achieved by combining a linearizing controllaw with a new state observer and a parameter estimator, which play the role of the software sensors for on-line estimation of biologicalstates and parameter variables of interest of the bioprocess. Simulation results are included to illustrate the performance of bothestimation and control algorithms.
An adaptive control strategy for a class of recycled depollution bioprocesses
Emil Petre (Autor:in) / Dan Selişteanu (Autor:in)
2010
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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