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Journal of Automation and Information Sciences

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Development and Analysis of Robust Algorithms for Guaranteed Ellipsoidal Estimation of the State of Multidimensional Linear Discrete Dynamic Systems. Part 1

Volume 32, Edição 3, 2000, pp. 37-46
DOI: 10.1615/JAutomatInfScien.v32.i3.50
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RESUMO

A new class of the algorithms is proposed for ellipsoidal estimation of the state of dynamic objects, whose output vectors are measured with additive noise. Noise vector components are supposed to be module bounded by the given constants. Unlike the known algorithms the proposed ones are robust (insensitive) to failure of a priori information about characteristics of uncertainties in object models.

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