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Input-State-Output Representations of Concatenated 2D Convolutional Codes Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Neural Network Control Strategies Applied to a DC Motor with a Nonlinear Load

Authors : Luís M. M. Ferreira, Ramiro S. Barbosa

Published in: CONTROLO 2016

Publisher: Springer International Publishing

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Abstract

This paper investigates the use of neural networks in the design of control systems. For that, it was considered two different neural control structures, namely the stabilizing and the adaptive reference model control systems. The analysis tries to understand to which extent the introduction of neural networks improves a process control. The control systems are simulated and analyzed for several reference inputs with and without added noise in the sensor. The simulation results show the improved performance of the control systems with neural networks.

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Metadata
Title
Neural Network Control Strategies Applied to a DC Motor with a Nonlinear Load
Authors
Luís M. M. Ferreira
Ramiro S. Barbosa
Copyright Year
2017
Book
CONTROLO 2016

Print ISBN: 978-3-319-43670-8

Electronic ISBN: 978-3-319-43671-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-43671-5_20