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
Indexed in
Adaptive Control of Nonlinear Objects Using CMAC Neural Network
Volumen 36,
Ausgabe 9, 2004,
13 pages
DOI: 10.1615/JAutomatInfScien.v36.i9.20
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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