Optimization of a linear controller using dynamic back-propagation

Autor:	Iván Machón-González, Hilario López-García, Helbert Eduardo Espitia-Cuchango
Rok vydání:	2019
Předmět:	dynamic dc motor Artificial neural network Control theory Computer science lcsh:Electrical engineering. Electronics. Nuclear engineering controller optimization lcsh:TK1-9971 DC motor Backpropagation
Zdroj:	Visión Electrónica, Vol 13, Iss 2, Pp 273-279 (2019)
ISSN:	2248-4728 1909-9746
DOI:	10.14483/22484728.15183
Popis:	This paper presents the optimization of a linear controller for a DC motor using Dynamic Back-Propagation algorithm. This algorithm is commonly employed for neural networks training; however, it can be used for optimization of a linear controller. The results show a satisfactory controller optimization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5039efb9bbadb4b9296385cf8aecc34f https://doi.org/10.14483/22484728.15183 Zobrazit plný text záznamu