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
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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