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Kurzhanski, A.B. & 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: | 27 Aug 2021 17:13 |
| URI: | https://pure.iiasa.ac.at/3331 |
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