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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

Convergence of a Matrix Gradient Control Algorithm with Feedback Under Constraints

Volumen 32, Edición 10, 2000, pp. 35-45
DOI: 10.1615/JAutomatInfScien.v32.i10.50
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SINOPSIS

A matrix stochastic regularizing controlling algorithm with feedback for solution of an ill-posed extremum problem is proposed. This algorithm is applicable to a linear control object of arbitrary finite dimension in the presence of additive multidimensional uncorrelated noise under non-stochastic constraints on the unknown matrix of the object's parameters and matrix inputs. The classes of controlled objects and non-controlled disturbances for which the algorithm converges in asymptotic to the fixed point of the algorithm-generating mapping with probability unity, are established.

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