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...

Full description

Saved in:
Bibliographic Details
Published inProcedia computer science Vol. 125; pp. 25 - 33
Main Authors Kumar, Pramendra, Kumar, Naveen, Panwar, Vikas
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2018
Subjects
Online AccessGet full text

Cover

Loading…