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Cybernetics and Systems Analysis

, Volume 41, Issue 2, pp 302–308 | Cite as

Adaptive Control of Multidimensional Nonlinear Objects on the Basis of Radial-Basis Networks

  • O. G. Rudenko
  • A. A. Bessonov
Article

Abstract

The problem of adaptive control over multidimensional nonlinear dynamic objects with the use of a neural network model is considered. To train the model, a recurrent least-squares method with exponential weighing of information and, to control an object, the multidimensional Kaczmarz algorithm are used. The results of an experimental investigation of the approach proposed are given.

Keywords

neural network model training control algorithm 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • O. G. Rudenko
    • 1
  • A. A. Bessonov
    • 1
  1. 1.Kharkov National University of RadioelectronicsKharkovUkraine

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