Author/Authors
T. Zhang، نويسنده , , M. Guay، نويسنده ,
DocumentNumber
1384475
Title Of Article
Adaptive nonlinear observers of microbial growth processes
شماره ركورد
11439
Latin Abstract
Adaptive nonlinear observers are studied for a class of biochemical processes expressed by a nonlinearly parametrized Monodʹs 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.
From Page
633
NaturalLanguageKeyword
Nonlinear Observer , Adaptive law , growth kinetics , Persistence of excitation , Lyapunov stability
JournalTitle
Studia Iranica
To Page
643
To Page
643
Link To Document