On Feedback Identification of Unknown Biochemical Characteristics in an Artificial Lake

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13171 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13171 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13171 archive 351 disk0/00/00/84/43 2016-01-15 08:40:36 2021-08-27 17:20:13 2016-01-15 08:40:36 monograph show 2 Keesman K.J. Maksimov V.I. AL1503 On Feedback Identification of Unknown Biochemical Characteristics in an Artificial Lake pub iis_env iis_mod prog_dyn 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. 2007-05 published IR-07-012 IR-07-012 2155 public interim_report IIASA, Laxenburg, Austria 26 FALSE info:eu-repo/semantics/book