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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Adaptive Control of Nonlinear Objects Using CMAC Neural Network

Volumen 36, Ausgabe 9, 2004, 13 pages
DOI: 10.1615/JAutomatInfScien.v36.i9.20
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ABSTRAKT

Neural network strategies of indirect adaptive control of unknown nonlinear dynamic objects are suggested. The studied objects are described by NARMA-models and for their identification and control the CMAC network is used. Efficiency of use of CMAC neural network for control of nonlinear stationary and nonstationary objects is demonstrated by simulation modeling.

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