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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v32.i11.50
pages 38-44

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

Nataliya N. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine

RESUMO

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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