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PIVOŇKA, P., VELEBA, V.
Originální název
Simple Neural Network-Based Adaptive Controller for Heating System
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
The algorithm for the semi-inversion controller has been designed for adaptive control based on neural networks. This controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The algorithm deals with extreme inversion controlling actions occurring in inversion control. We used the semi-inversion controller for control a real system – laboratory hot-air system model. The efficient of control algorithm we demonstrate by control MIMO system with two parameters – the airflow and the temperature inside the tunnel. The hot-air system displays negative effects commonly occurring in industrial applications – different static amplifications at different operating points, large offset increasing with time, dead zone and noise.
Anglický abstrakt
Klíčová slova
Adaptive Control, Neural Networks, Simple Neural Controller
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
08.09.2004
Nakladatel
Rektor der Hochschule Zitttau/Görlitz
Místo
Zittau, Germany
ISBN
3-9808089-5-5
Kniha
Proceedings East West Fuzzy Colloquium 2004
Strany od
163
Strany počet
6
BibTex
@inproceedings{BUT11409, author="Petr {Pivoňka} and Václav {Veleba}", title="Simple Neural Network-Based Adaptive Controller for Heating System", booktitle="Proceedings East West Fuzzy Colloquium 2004", year="2004", pages="6", publisher="Rektor der Hochschule Zitttau/Görlitz", address="Zittau, Germany", isbn="3-9808089-5-5" }