IDENTIFICATION OF BIODEGRADATION MODELS UNDER MODEL AND DATA UNCERTAINTY

In this paper a number of nonlinear parameter estimation methods are e valuated with respect to their ability to identify biodegradation mode ls from ''real-world'' data Important aspects are then the sensitivity to local minima, rate of convergence, required prior knowledge and di rect or indirect availability of parameter estimates uncertainty. Furt hermore, it is important whether a method is robust against invalid as sumptions. In addition to the final parameter values, covariance and c orrelation matrices, confidence intervals and residual sequences are p resented to obtain information about the validity of the models and no ise assumptions. Finally, recommendations on the method's applicabilit y range are provided. Copyright (C) 1996 IAWQ. Published by Elsevier S cience Ltd