Real-Time Identification of Nonlinear Time-Varying Systems Using Radial Basis Function Network

Authors:
O. G. Rudenko;A. A. Bessonov
Affiliations:
National University of Radioelectronics, Kharkov, Ukraine rudenko@kture.kharkov.ua;National University of Radioelectronics, Kharkov, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2003

Citing 0
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Abstract

A multistep version of Kaczmarz's projection algorithm is presented for training radial basis function network used for identification of nonlinear dynamic systems. A new recursive form of the algorithm is derived. Computer simulation shows that the new algorithm offers advantages over RLS algorithm both in convergence rate and in computation time required.