Stable adaptive predictor for nonlinear systems using neural networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)383-390
Journal / PublicationComputers and Electrical Engineering
Volume20
Issue number5
Publication statusPublished - Sept 1994
Externally publishedYes

Abstract

Adaptive prediction for nonlinear dynamic systems is discussed in this paper. A stable adaptive prediction scheme is proposed for unknown nonlinear dynamic systems based on Radial Basis Function neural networks. Convergence analysis of the scheme is presented using the standard technique for linear adaptive systems. Simulation results are also provided to demonstrate performance of the scheme.

Research Area(s)

  • Adaptive prediction, neural networks, nonlinear systems, radial basis function, stability