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VAŇKOVÁ, M.
Original Title
Possibility of Using Neural Network Based Identification in Adaptive Controllers
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
This paper deals with possibility of a neural network identification applicable in adaptive (self-tuning) controllers. The reason is a long sample time necessary for a proper function of the classical identification methods (recursive least square especially) that results improper behaviour of the whole control system. Typical neural networks used to process modelling and applicable in this adaptive control are introduced. Regular identification requirements are discussed. Properties and special cases of the various neural types are introduced. The most extended neural networks are compared in conclusion.
English abstract
Key words in English
adaptive controller, neural network, identification
Authors
RIV year
2011
Released
01.01.2005
Publisher
VUT v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií
Location
Brno
ISBN
80-214-2889-9
Book
Proceedings of the 11th Conference STUDENT EEICT 2005
Pages from
66
Pages count
5
BibTex
@inproceedings{BUT14574, author="Markéta {Šulová}", title="Possibility of Using Neural Network Based Identification in Adaptive Controllers", booktitle="Proceedings of the 11th Conference STUDENT EEICT 2005", year="2005", pages="5", publisher="VUT v Brně, Fakulta elektrotechniky a komunikačních technologií a Fakulta informačních technologií", address="Brno", isbn="80-214-2889-9" }