On Feedback Identification of Unknown Biochemical Characteristics in an Artificial Lake

Keesman KJ & Maksimov VI (2007). On Feedback Identification of Unknown Biochemical Characteristics in an Artificial Lake. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-07-012

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Abstract

The problem of dynamical identification of unknown characteristics (states/parameters) in a biochemical model of an artificial lake with only inflow and given observations of some states is considered. An algorithm that solves this simultaneous state and parameter estimation problem and that is stable with respect to bounded informational noises and computational errors is presented. The algorithm is based on the principle of auxiliary models with adaptive controls. Convergence of the algorithm is proven and a convergence rate is derived. The performance of the algorithm is illustrated to a typical single-species environmental example.

Item Type: Monograph (IIASA Interim Report)
Research Programs: Dynamic Systems (DYN)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:40
Last Modified: 07 Nov 2016 13:50
URI: http://pure.iiasa.ac.at/8443

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