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 depollution bioprocesses that are carried out in recycle bioreactors. The adaptive control structure is achieved by combining a linearizing control law with a new state observer and a parameter estimator, which play the role of the software sensors for on-line estimation of biological states and parameter variables of interest of the bioprocess. Simulation results are included to illustrate the performance of both estimation and control algorithms.