PARAMETER AND STATE ESTIMATION OF THE ACTIVATED-SLUDGE PROCESS .1. MODEL DEVELOPMENT

A new approach is introduced for combined state and parameter estimati on, named Linearized Maximum Likelihood (LML). The LML method is motiv ated by the uncertain and nonlinear activated sludge dynamics. In this article, the theoretical background leading to the development of the LML method is presented, along with the resulting numerical algorithm . In a companion article (Kabouris and Georgakakos, 1996) the LML meth od is applied to the parameter and state estimation of a nitrifying ac tivated sludge process, modelled by the IAWPRC Activated Sludge Model 1. Copyright (C) 1996 Elsevier Science Ltd