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

Kurzhanski AB & Tanaka M (1989). On a Unified Framework for Deterministic & Stochastic Treatment of Identification Problems. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-89-013

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Abstract

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.

Item Type: Monograph (IIASA Working Paper)
Research Programs: System and Decision Sciences - Core (SDS)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:00
Last Modified: 31 Jul 2016 23:48
URI: http://pure.iiasa.ac.at/3331

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