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Journal of Automation and Information Sciences

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

State Estimation of Distributed Parameters Systems Using Finite-Dimensional Models and Local Measurements with Bounded Noise

Volumen 47, Edición 5, 2015, pp. 42-59
DOI: 10.1615/JAutomatInfScien.v47.i5.40
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SINOPSIS

The state estimation problem of a linear dynamic distributed system in a bounded domain with known boundary, but unknown initial conditions is considered. The finite-dimensional model of the process, obtained by the Galerkin method, and the state estimation of the model by the ellipsoids method are used for solution of the problem. The features of the proposed approach are discussed and analyzed by two examples of solution of the problem of estimation of positions and velocities of a string and membrane.

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