Publication result detail

Adaptive Neural Controllers

VELEBA, V.

Original Title

Adaptive Neural Controllers

English Title

Adaptive Neural Controllers

Type

Paper in proceedings (conference paper)

Original Abstract

This paper describes some approaches to using neural networks as adaptive controllers. We used two inverse adaptive neural controllers: • Inverse controller with neural model of inverse plant dynamics • Direct neural controllers and two controllers based on conventional PID controller: • PSD controller • PSD controller tuned by neural networks All of them were implemented to MATLAB-Simulink with aspect of future implementation to programmable logic controller B&R. Their principle, advantages and disadvantages were compared.

English abstract

This paper describes some approaches to using neural networks as adaptive controllers. We used two inverse adaptive neural controllers: • Inverse controller with neural model of inverse plant dynamics • Direct neural controllers and two controllers based on conventional PID controller: • PSD controller • PSD controller tuned by neural networks All of them were implemented to MATLAB-Simulink with aspect of future implementation to programmable logic controller B&R. Their principle, advantages and disadvantages were compared.

Keywords

neural net, adaptive comtrollers

Key words in English

neural net, adaptive comtrollers

Authors

VELEBA, V.

Released

30.04.2003

Location

Brno

ISBN

80-214-2377-3

Book

Student EEICT Conference and Competition 2003

Edition

Neuveden

Volume

Neuveden

Pages from

60

Pages count

3

BibTex

@inproceedings{BUT8150,
  author="Václav {Veleba}",
  title="Adaptive Neural Controllers",
  booktitle="Student EEICT Conference and Competition 2003",
  year="2003",
  series="Neuveden",
  volume="Neuveden",
  number="1",
  pages="3",
  address="Brno",
  isbn="80-214-2377-3"
}