This paper presents two approaches for utilization of neural networks in identification of dynamical systems. In the first approach, a Hopfield network is used to implement a least-squares estimation for time-varying and time-invariant systems. The second approach, which is in the frequency domain, utilizes a set of orthogonal basis functions and Fourier… (More)

International Journal of Software Engineering and…

2009

1 Excerpt

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Neural Networks for System Identification,

R. Shoureshi, R. Chu, M. Tenorio

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@inproceedings{Chu2004NeuralNF,
title={Neural networks for system identification - IEEE Control Systems Magazine},
author={S. Reynold Chu and Rahmat Shoureshi and Manoel Fernando Tenorio},
year={2004}
}