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VELEBA, V., PIVOŇKA, P.
Original Title
Using Neural Networks For Adaptive Control of Thermal Process
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The semi-inversion controller originally designed for linear systems proved to have favorable characteristics also for considerably non-linear systems. The semi-inversion controller was designed to get to grips with extreme control action occurring in an inversion control, to exploit the high adaptability of neural networks and make use of inversion control principles. 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.
English abstract
Keywords
adaptive control, semi-inversion controller, hot-air tunnel, MIMO system, neural networks
Key words in English
Authors
RIV year
2011
Released
03.11.2004
Publisher
DAAAM International Vienna
Location
Vienna, Austria
ISBN
3-901509-42-9
Book
Annals of DAAAM for 2004 & Proceedings
Pages from
471
Pages count
2
BibTex
@inproceedings{BUT11766, author="Václav {Veleba} and Petr {Pivoňka}", title="Using Neural Networks For Adaptive Control of Thermal Process", booktitle="Annals of DAAAM for 2004 & Proceedings", year="2004", pages="2", publisher="DAAAM International Vienna", address="Vienna, Austria", isbn="3-901509-42-9" }