<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1692-3324</journal-id>
<journal-title><![CDATA[Revista Ingenierías Universidad de Medellín]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. ing. univ. Medellín]]></abbrev-journal-title>
<issn>1692-3324</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Medellín]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1692-33242018000200157</article-id>
<article-id pub-id-type="doi">10.22395/rium.v17n33a8</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Control predictivo/adaptativo de sistemas complejos utilizando técnicas de ingeniería neuronal]]></article-title>
<article-title xml:lang="en"><![CDATA[Predictive/Adaptive Control of Complex Systems Using Neural Engineering Techniques]]></article-title>
<article-title xml:lang="pt"><![CDATA[Controle preditivo/adaptativo de sistemas complexos utilizando técnicas de engenharia neural]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gallardo]]></surname>
<given-names><![CDATA[José]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ayala]]></surname>
<given-names><![CDATA[Claudio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Castro]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Católica del Norte Facultad de Ingeniería Departamento de Ingeniería de Sistemas y Computación]]></institution>
<addr-line><![CDATA[Antofagasta ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Antofagasta Facultad de Ingeniería Departamento de Ingeniería Eléctrica]]></institution>
<addr-line><![CDATA[Antofagasta ]]></addr-line>
<country>Chile</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Arturo Prat Facultad de Ingeniería y Arquitectura ]]></institution>
<addr-line><![CDATA[Iquique ]]></addr-line>
<country>Chile</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2018</year>
</pub-date>
<volume>17</volume>
<numero>33</numero>
<fpage>157</fpage>
<lpage>172</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S1692-33242018000200157&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S1692-33242018000200157&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S1692-33242018000200157&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Se presenta el diseño e implementación de un sistema de control predic tivo/adaptativo, utilizando técnicas de ingeniería neuronal para controlar un sistema MIMO no lineal con el objeto de controlar, en una etapa posterior, la temperatura y el nivel en una planta no lineal de tipo cónica. Preliminarmente, se ensayaron estructuras de control convencional lo que hizo surgir la necesidad de probar estructuras de control inteligente que permitan cumplir más eficazmente con los objetivos de control. El proceso se inicia con la experimentación de diferentes estructuras de control neuronal, para luego escalar hacia un sistema de control neuronal predictivo/adaptativo. Los resultados logrados a nivel simulación, ensayando el diseño propuesto sobre modelos matemáticos de sistemas MIMO no lineales, fueron satisfactorios y cumplieron los objetivos de control establecidos, por tanto, en la siguiente etapa del proyecto, se estima la experimentación en la planta real en estudio.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract 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.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Apresenta-se a criação e a implementação de um sistema de controle preditivo/adaptativo utilizando técnicas de engenharia neural para controlar um sistema MIMO não linear com o objetivo de controlar, em uma etapa posterior, a temperatura e o nível em uma planta não linear de tipo cônica. Preliminarmente, estruturas de controle convencional foram ensaiadas, o que fez com que surgisse a necessidade de testar estruturas e controle inteligente que permitissem cumprir os objetivos de controle de forma mais eficaz. O processo começa com a experimentação de diferentes estruturas de controle neural, para depois escalar em direção a um sistema de controle neural preditivo/adaptativo. Os resultados alcançados na simulação, ensaiando o desenho proposto sobre modelos matemáticos de sistemas MIMO não lineares, foram satisfatórios e cumpriram os objetivos de controle estabelecidos, portanto, na seguinte etapa do projeto, estima-se realizar a experimentação na planta real em estudo.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[ingeniería neuronal]]></kwd>
<kwd lng="es"><![CDATA[identificación]]></kwd>
<kwd lng="es"><![CDATA[control predictivo]]></kwd>
<kwd lng="es"><![CDATA[control adaptativo]]></kwd>
<kwd lng="es"><![CDATA[sistemas MIMO no lineales]]></kwd>
<kwd lng="en"><![CDATA[neuronal engineering]]></kwd>
<kwd lng="en"><![CDATA[identification]]></kwd>
<kwd lng="en"><![CDATA[predictive control]]></kwd>
<kwd lng="en"><![CDATA[adaptive control]]></kwd>
<kwd lng="en"><![CDATA[non-linear MIMO systems]]></kwd>
<kwd lng="pt"><![CDATA[engenharia neural]]></kwd>
<kwd lng="pt"><![CDATA[identificação]]></kwd>
<kwd lng="pt"><![CDATA[controle preditivo]]></kwd>
<kwd lng="pt"><![CDATA[controle adaptativa]]></kwd>
<kwd lng="pt"><![CDATA[sistemas MIMO não lineares]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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