Title :
Nonlinear observers for a class of biological systems: application to validation of a phytoplanktonic growth model
Author :
Bernard, Olivier ; Sallet, Gauthier ; Sciandra, Antoine
Author_Institution :
COMORE, Inst. Nat. de Recherche en Inf. et Autom., Sophia-Antipolis, France
fDate :
8/1/1998 12:00:00 AM
Abstract :
The authors construct nonlinear observers in order to discuss the validity of biological models. They consider a class of systems including many classical models used in biological modeling. They formulate the nonlinear observers corresponding to these systems and prove the conditions necessary for their exponential convergence. They apply these observers on the well-known Droop model which describes the growth of a population of phytoplanktonic cells. The validity of this model is discussed based on the performance of the observers working on experimental data
Keywords :
biocybernetics; living systems; nonlinear systems; observability; observers; physiological models; Droop model; biological models; continuous reactor; exponential convergence; growth model; nonlinear observers; observability; phytoplanktonic cells; Biological system modeling; Biological systems; Biotechnology; Convergence; Feedback; Inductors; Microorganisms; Observability; Observers; Predictive models;
Journal_Title :
Automatic Control, IEEE Transactions on