Design and Simulation of a Neural Controller for MIMO Systems

Roberto S. Velazquez-Gonzalez, Julio C. Sosa-Savedra, Agustin Barrera-Navarro

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Classical control theory is widely used to regulate Simple Input, Simple Output (SISO) systems. However, when there are multiple inputs and multiple outputs, the complexity to control the systems increases significantly. Intelligent control theories such as artificial neural networks have proven to be an efficient alternative to implement complex systems. In addition, it is not necessary to obtain a mathematical model of the system. This paper shows the application of artificial neural networks as control elements in MIMO systems (Multiple Input, Multiple Outputs). The performance of the controller is shown in a simulation of a combined system, in which two first-order plants are interconnected. The experiments were carried out in Matlab software.

Idioma originalInglés
Título de la publicación alojadaRecent Trends in Sustainable Engineering - Proceedings of the 2nd International Conference on Applied Science and Advanced Technology
EditoresKaren Lizbeth Flores Rodríguez, Raymundo Ramos Alvarado, Masoud Barati, Veronica Segovia Tagle, Roberto Sostrand Velázquez González
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas25-36
Número de páginas12
ISBN (versión impresa)9783030820633
DOI
EstadoPublicada - 2022
Evento2nd International Conference on Applied Science and Advanced Technology, ICASAT 2021 - Virtual, Online
Duración: 2 jun. 20213 jun. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen297
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia2nd International Conference on Applied Science and Advanced Technology, ICASAT 2021
CiudadVirtual, Online
Período2/06/213/06/21

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