Adaptive nonlinear observers of microbial growth processes |
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Authors: | T Zhang M Guay |
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Abstract: | Adaptive nonlinear observers are studied for a class of biochemical processes expressed by a nonlinearly parametrized Monod's growth model. Simultaneous on-line estimations of system states and parameters are performed for the plants with unknown parameters. Asymptotic nonlinear observers and parameter updating laws are constructed using Lyapunov stability technology. A persistence of excitation (PE) condition is investigated for the parameter convergence of the adaptive observers. Numerical simulations are provided to show the effectiveness of the proposed scheme. |
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Keywords: | Nonlinear observer Adaptive law Growth kinetics Persistence of excitation Lyapunov stability |
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