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Citation
: Neural network based bicriterial dual control of nonlinear systems . Proceedings of the 16th IFAC World Congress, vol. 1, p. 58-63, Elsevier, Oxford, 2006.
Abstract
A bicriterial dual controller for nonlinear stochastic systems is suggested. Two separate criterions are designed and used to introduce one of opposing aspects between estimation and control; caution and probing. A system is modelled using a multilayer perceptron network. Parameters of the network are estimated by the Gaussian sum method which allows to determine conditional probability density functions of the network weights. The proposed approach is compared with inovation dual control and the quality of the estimator and the regulator is analyzed by simulation and Monte Carlo analysis.
Detail of publication
| Title: | Neural network based bicriterial dual control of nonlinear systems |
|---|---|
| Author: | Šimandl, M. ; Král, L. ; Hering, P. |
| Language: | English |
| Date of publication: | 4 Jul 2005 |
| Year: | 2006 |
| Type of publication: | Book Chapters |
| Title of journal or book: | Proceedings of the 16th IFAC World Congress |
| Číslo vydání: | 1 |
| Page: | 58 - 63 |
| ISBN: | 0-08-045108-X |
| Publisher: | Elsevier |
| Address: | Oxford |
| Date: | 4 Jul 2005 - 8 Jul 2005 |
Keywords
Neural networks, adaptive control, stochastic control, nonlinear systems, parameter estimation, non-Gaussian processes, learning algorithms
BibTeX
@INBOOK{SimandlM_2006_Neuralnetworkbased,
author = {\v{S}imandl, M. and Kr\'{a}l, L. and Hering, P.},
title = {Neural network based bicriterial dual control of nonlinear systems},
year = {2006},
publisher = {Elsevier},
journal = {Proceedings of the 16th IFAC World Congress},
address = {Oxford},
volume = {1},
pages = {58-63},
ISBN = {0-08-045108-X},
url = {http://www.kky.zcu.cz/en/publications/SimandlM_2006_Neuralnetworkbased},
}