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
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.
Palavras-chave: ellipsoidal estimation, robust algorithms, insensitive, dynamic object, supporting function, minimization problem.
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