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Journal of Automation and Information Sciences

Выходит 12 номеров в год

ISSN Печать: 1064-2315

ISSN Онлайн: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Parameter Identification for Discrete-Time Dynamic Systems by Use of Neural Network and Set-Membership Approaches

Том 32, Выпуск 11, 2000, pp. 38-44
DOI: 10.1615/JAutomatInfScien.v32.i11.50
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Краткое описание

The paper devoted to application of set-membership (ellipsoidal) and neural methods to solution of the parameter identification problem for discrete-time control systems. The comparative analysis of the two algorithms is performed by numerical simulation.

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