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

Authors:
O. G. Rudenko;A. A. Bessonov
Affiliations:
Kharkov National University of Radioelectronics, Kharkov, Ukraine;Kharkov National University of Radioelectronics, Kharkov, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2005

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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.