On a Unified Framework for Deterministic & Stochastic Treatment of Identification Problems

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/3389 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3389 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/3389 archive 351 disk0/00/00/33/31 2016-01-15 02:00:08 2021-08-27 17:13:40 2016-01-15 02:00:08 monograph show 2 Kurzhanski A.B. AL0216 Tanaka M. AL1284 On a Unified Framework for Deterministic & Stochastic Treatment of Identification Problems pub iis_met prog_sds This paper deals with the conventional problem of identifying a matrix parameter on the basis of observations corrupted by an uncertainty in the measurements. Recalling two basic approaches to this problem -- the stochastic scheme when the error in observation is treated as a Gaussian noise and the deterministic approach with only a set-membership description of the unknown variables, the paper indicates the connections and interactions in the techniques involved in the respective solutions. 1989-01 published WP-89-013 WP-89-013 10 2088 2443 public working_paper IIASA, Laxenburg, Austria 39 FALSE info:eu-repo/semantics/book