<?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>1665-6423</journal-id>
<journal-title><![CDATA[Journal of applied research and technology]]></journal-title>
<abbrev-journal-title><![CDATA[J. appl. res. technol]]></abbrev-journal-title>
<issn>1665-6423</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Instituto de Ciencias Aplicadas y Tecnología]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-64232014000300008</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Estimation of the State and the Unknown Inputs of a Multimodel with non Measurable Decision Variables]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Maherzi]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Besbes]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zemmel]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mami]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Carthage High School of Technology and Computer Science ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Tunisia</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Gafsa. High School of Applied Sciences and Technologies of Gafsa ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<aff id="A03">
<institution><![CDATA[,University of El Manar Faculty of Sciences of Tunis Department of physics]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2014</year>
</pub-date>
<volume>12</volume>
<numero>3</numero>
<fpage>422</fpage>
<lpage>434</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-64232014000300008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-64232014000300008&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-64232014000300008&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[This paper treats the estimation of the state of a nonlinear system with unknown input. The nonlinear system is described by a multimodel with unknown function of activation but depending only on the state. The method of design of the multiobserver is described by using the second method of Lyapunov and their candidate functions. The sufficient obtained stability conditions are expressed in terms of Linear Matrix Inequalities (LMI) and are obtained first using the Lyapunov quadratic functions and secondly by using Lyapunov polyquadratic functions. This latter technique seems to be less conservative and less constraining than the first. Illustrative examples are presented in this paper.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Este artículo trata la estimación de estado de un sistema no lineal con una entrada desconocida. El sistema no lineal se describe por un multi-modelo con una función desconocida de activación, pero dependiendo sólo en su estado. El método de diseño del multi-observador se detalla mediante el segundo método de Lyapunov y sus funciones candidatos. Las condiciones de estabilidad obtenidos se expresan en términos de desigualdades matriciales lineales (LMI) y se obtienen de la utilización de las funciones cuadráticas de Lyapunov en un primer estudio y de las funciones poli cuadráticas de Lyapunov en un segundo estudio que aparece menos conservador y menos restrictivo que el primero. Múltiples ejemplos ilustrativos se presentan en este documento.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Discrete multimodel]]></kwd>
<kwd lng="en"><![CDATA[multiobserver with unknown inputs]]></kwd>
<kwd lng="en"><![CDATA[non measurable variables of decision]]></kwd>
<kwd lng="en"><![CDATA[quadratic stabilization]]></kwd>
<kwd lng="en"><![CDATA[polyquadratic stabilization]]></kwd>
<kwd lng="en"><![CDATA[unknown input estimation]]></kwd>
<kwd lng="en"><![CDATA[Linear Matrix Inequalities (LMI)]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[  	    <p align="center"><font face="verdana" size="4"><b>Estimation of the State and the Unknown Inputs of a Multimodel with non Measurable Decision Variables</b></font></p>  	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="center"><font face="verdana" size="2"><b>E. Maherzi<sup>1</sup>, M. Besbes*<sup>1</sup>, S. Zemmel<sup>2</sup> and A. Mami<sup>3</sup></b></font></p>  	    <p align="center"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>1</sup> High School of Technology and Computer Science, University of Carthage. 45 rue des entrepreneurs, Charguia 2, Tunis Carthage 2035, Tunisia</i>. *<a href="mailto:mongi.besbes@gmail.com">mongi.besbes@gmail.com</a></font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>2</sup> High School of Applied Sciences and Technologies of Gafsa, University of Gafsa.</i></font></p>  	    <p align="justify"><font face="verdana" size="2"><i><sup>3</sup> Department of physics, Faculty of Sciences of Tunis, University of El Manar.</i></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>ABSTRACT</b></font></p>      ]]></body>
<body><![CDATA[<p align="justify"><font face="verdana" size="2">This paper treats the estimation of the state of a nonlinear system with unknown input. The nonlinear system is described by a multimodel with unknown function of activation but depending only on the state. The method of design of the multiobserver is described by using the second method of Lyapunov and their candidate functions. The sufficient obtained stability conditions are expressed in terms of Linear Matrix Inequalities (LMI) and are obtained first using the Lyapunov quadratic functions and secondly by using Lyapunov polyquadratic functions. This latter technique seems to be less conservative and less constraining than the first. Illustrative examples are presented in this paper.</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>Keywords:</b> Discrete multimodel; multiobserver with unknown inputs; non measurable variables of decision; quadratic stabilization; polyquadratic stabilization; unknown input estimation; Linear Matrix Inequalities (LMI).</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><b>RESUMEN</b></font></p>  	    <p align="justify"><font face="verdana" size="2">Este art&iacute;culo trata la estimaci&oacute;n de estado de un sistema no lineal con una entrada desconocida. El sistema no lineal se describe por un multi&#45;modelo con una funci&oacute;n desconocida de activaci&oacute;n, pero dependiendo s&oacute;lo en su estado. El m&eacute;todo de dise&ntilde;o del multi&#45;observador se detalla mediante el segundo m&eacute;todo de Lyapunov y sus funciones candidatos. Las condiciones de estabilidad obtenidos se expresan en t&eacute;rminos de desigualdades matriciales lineales (LMI) y se obtienen de la utilizaci&oacute;n de las funciones cuadr&aacute;ticas de Lyapunov en un primer estudio y de las funciones poli cuadr&aacute;ticas de Lyapunov en un segundo estudio que aparece menos conservador y menos restrictivo que el primero. M&uacute;ltiples ejemplos ilustrativos se presentan en este documento.</font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><a href="/pdf/jart/v12n3/v12n3a8.pdf" target="_blank">DESCARGAR ART&Iacute;CULO EN FORMATO PDF</a></font></p>  	    <p align="justify"><font face="verdana" size="2">&nbsp;</font></p>  	    <p align="justify"><font face="verdana" size="2"><i><b>References</b></i></font></p>  	    <!-- ref --><p align="justify"><font face="verdana" size="2">&#91;1&#93; A. 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