Predictive/Adaptive Control of Complex Systems Using Neural Engineering Techniques

The design and implementation of a predictive/adaptive control system is presented, using neural engineering techniques to control a non-linear MIMO system in order to control, at a later stage, the temperature and level in a non-linear conical plant. Preliminarily, conventional control structures were tested, which gave rise to the need to test intelligent control structures that allow the control objectives to be met more effectively. The process begins with the experimentation of different neuronal control structures, and then escalates to a predictive/adaptive neuronal control system. The results achieved at the simulation level, testing the proposed design on mathematical models of non-linear MIMO systems, were satisfactory and met the control objectives established, therefore, in the next stage of the project, the experimentation is estimated in the real plant under study.

• Autores: Gallardo Arancibia, José; Ayala Bravo, Claudio; Castro Castro, Rubén
• Tipo de recurso: Article of journal
• Fecha de publicación: 2018
• Institución: Universidad de Medellín
• Repositorio: Repositorio UDEM
• Idioma: spa
• OAI Identifier: oai:repository.udem.edu.co:11407/5513
• Acceso en línea: http://hdl.handle.net/11407/5513; https://doi.org/10.22395/rium.v17n33a8
• Palabra clave: Neuronal engineering; Identification; Predictive control; Adaptive control; Non-linear MIMO systems; Engenharia neural; Identificação; Controle preditivo; Controle adaptativa; Sistemas MIMO não lineares; Ingeniería neuronal; Identificación; Control predictivo; Control adaptativo; Sistemas MIMO no lineales
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/