RBF Neural Control Design for SISO Nonaffine Nonlinear Systems
In the present paper, an RBF neural control scheme is designed for regulatory control of SISO nonaffine systems facing unknown nonlinearities. Using Taylor series expansion, the nonaffine part of the system is converted into affine form. RBF network is utilized to estimate the equivalent affine syst...
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Published in | Procedia computer science Vol. 125; pp. 25 - 33 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
2018
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Subjects | |
Online Access | Get full text |
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