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The purpose of this paper is to implement an online fuzzy controller using an internet of things (IoT) platform to obtain a data set, that is processed using neural networks in order to build a model that permits to identify the dynamics of a thermal system. The parameters of a neural controller are calculated based on the estimated model of the plant. These parameters are transmitted to a System on a Chip (SoC) in order to configure an automatic offline control system.

risti

Configuración de un Control de Temperatura en un Sistema Embebido de Bajo Costo, usando Herramientas de Inteligencia Artificial y el Internet de las Cosas