Simulation models are used to study and design real systems in order to optimize their
performance. However, the lack of complexity in models, as compared to systems, leads to …

Efficient use of CMAC (Cerebellar Model Articulation Controller) for identification and real-
time control of nonlinear dynamical systems is demonstrated. An on-line weight training …

An approach to the development of a neurocontroller for controlling nonlinear dynamical
objects on the basis of radial-basis function neural networks is considered. Piecewise-linear …

ROBUST TRAINING OF RADIAL BASIS NETWORKS Page 1 Cybernetics and Systems
Analysis, Vol. 47, No. 6, November, 2011 ROBUST TRAINING OF RADIAL BASIS NETWORKS …

The problem of neural network-based robust identification of nonlinear dynamic objects in
the presence of non-Gaussian noise is considered. To solve this problem, a radial basis …

Design and modeling of nonlinear systems require the knowledge of all inside acting
parameters and effects. An empirical alternative is to identify the system's transfer function …

Bibliography on the Kaczmarz method Page 1 January, 8th 2024 Andrzej Cegielski Institute
of Mathematics University of Zielona Góra ul. Szafrana 4a, 65-516 Zielona Góra, Poland e-mail …

Dryer system is a controlled plant which is normally used in chemical industry. The proper
modeling of this system facilitates its maintenance and keeping. Normally this is not an easy …

In this paper a new time varying multivariate Prony (TVM-Prony) method is put forward to
identify modal parameters of time varying (TV) multiple-degree-of-freedom systems from …

The influence of the choice of a coding scheme on properties of a CMAC network is
analyzed. Since there exist several arbitrarily chosen parameters in such a network, their …