<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2117/1127</link>
    <description />
    <pubDate>Sat, 25 May 2013 14:11:21 GMT</pubDate>
    <dc:date>2013-05-25T14:11:21Z</dc:date>
    <itunes:owner>
      <itunes:email>webmaster.bupc@upc.edu</itunes:email>
      <itunes:name>Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació</itunes:name>
    </itunes:owner>
    <itunes:explicit>no</itunes:explicit>
    <itunes:keywords />
    <item>
      <title>Model and requirements for a multiresolution time series database management system</title>
      <link>http://hdl.handle.net/2117/19183</link>
      <description>Title: Model and requirements for a multiresolution time series database management system
Authors: Llusa Serra, Aleix; Escobet Canal, Teresa; Vila Marta, Sebastià
Abstract: In this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting diferent resolutions and attributes summaries from the time series.&#xD;
Our work is concerned in putting together two areas of study: time series analysis and database management systems (DBMS). Time series analysis offers a great deal of methodologies and algorithms to process time series data and database field provides software expertise in managing data. Therefore it is of primary relevance that DBMS support time series.</description>
      <pubDate>Mon, 13 May 2013 15:19:06 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19183</guid>
      <dc:date>2013-05-13T15:19:06Z</dc:date>
      <itunes:author>Llusa Serra, Aleix; Escobet Canal, Teresa; Vila Marta, Sebastià</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting diferent resolutions and attributes summaries from the time series.&#xD;
Our work is concerned in putting together two areas of study: time series analysis and database management systems (DBMS). Time series analysis offers a great deal of methodologies and algorithms to process time series data and database field provides software expertise in managing data. Therefore it is of primary relevance that DBMS support time series.</itunes:summary>
    </item>
    <item>
      <title>Modelling and decentralized model predictive control of drinking water networks: the Barcelona case study</title>
      <link>http://hdl.handle.net/2117/7175</link>
      <description>Title: Modelling and decentralized model predictive control of drinking water networks: the Barcelona case study
Authors: Fambrini, Valentina; Ocampo-Martínez, Carlos
Abstract: In this report, MPC strategies have been designed and tested for the global centralized and decentralized control of drinking water networks. Test have been performed in order to highlight the advantages of having a partition of a complex network in several subsystems. Despite the possible suboptimal solution of the optimization problems from the global point of view, the clear gain related to the computation times and loads has been demonstrated by means of the simulations and test developed here. The high correlation between system elements, i.e., the strong coupling of the network, makes impossible to have independent subsystems to be controlled by using a set of decoupled MPC controllers. Moreover, the necessity of a hierarchy scheme is discussed and interesting results are obtained from the mixture of techniques giving rise to a control law sharing decentralized and hierarchical features.</description>
      <pubDate>Wed, 12 May 2010 07:46:28 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/7175</guid>
      <dc:date>2010-05-12T07:46:28Z</dc:date>
      <itunes:author>Fambrini, Valentina; Ocampo-Martínez, Carlos</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In this report, MPC strategies have been designed and tested for the global centralized and decentralized control of drinking water networks. Test have been performed in order to highlight the advantages of having a partition of a complex network in several subsystems. Despite the possible suboptimal solution of the optimization problems from the global point of view, the clear gain related to the computation times and loads has been demonstrated by means of the simulations and test developed here. The high correlation between system elements, i.e., the strong coupling of the network, makes impossible to have independent subsystems to be controlled by using a set of decoupled MPC controllers. Moreover, the necessity of a hierarchy scheme is discussed and interesting results are obtained from the mixture of techniques giving rise to a control law sharing decentralized and hierarchical features.</itunes:summary>
    </item>
    <item>
      <title>Development of a Simulation Environment for Water Drinking Networks: Application to the Validation of a Centralized MPC Controller for the Barcelona Case Study</title>
      <link>http://hdl.handle.net/2117/7101</link>
      <description>Title: Development of a Simulation Environment for Water Drinking Networks: Application to the Validation of a Centralized MPC Controller for the Barcelona Case Study
Authors: Caini, Elena; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela
Abstract: In this report, MPC strategies have been designed and tested for the global centralized control of a drinking water network. Test have been implemented by using a software tool called PLIO, which allows the user to select the simulation parameters as well as the demands episodes in order to obtain the desired results. Additionally, this report describes the implementation of a MATLAB-based simulator of a plant model related to the Barcelona drinking water network. Several simulations and test have been done and conclusions from the obtained results are outlined and discussed.</description>
      <pubDate>Fri, 30 Apr 2010 13:26:47 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/7101</guid>
      <dc:date>2010-04-30T13:26:47Z</dc:date>
      <itunes:author>Caini, Elena; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In this report, MPC strategies have been designed and tested for the global centralized control of a drinking water network. Test have been implemented by using a software tool called PLIO, which allows the user to select the simulation parameters as well as the demands episodes in order to obtain the desired results. Additionally, this report describes the implementation of a MATLAB-based simulator of a plant model related to the Barcelona drinking water network. Several simulations and test have been done and conclusions from the obtained results are outlined and discussed.</itunes:summary>
    </item>
    <item>
      <title>Modelling approaches for predictive control of large-scale sewage systems</title>
      <link>http://hdl.handle.net/2117/6505</link>
      <description>Title: Modelling approaches for predictive control of large-scale sewage systems
Authors: Ocampo-Martínez, Carlos; Puig Cayuela, Vicenç
Abstract: In this report, model predictive control (MPC) of large-scale sewage systems is addressed considering different modelling approaches that include several inherent continuous/discrete phenomena&#xD;
(overflows in sewers and tanks) and elements (weirs) in the system that result in distinct&#xD;
behaviour depending on the dynamic state (&#xD;
flow/volume) of the network. These behaviours&#xD;
can not be neglected nor can be modelled by a pure linear representation. In order the MPC controller takes into account these phenomena and elements, a modelling approach based on piece-wise linear functions is proposed and compared against a hybrid modelling approach previously&#xD;
reported by the authors. Control performance results and associated computation times&#xD;
of the closed-loop scheme considering both modelling approaches are compared by using a real case study based on the Barcelona sewer network.</description>
      <pubDate>Mon, 01 Mar 2010 09:16:36 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/6505</guid>
      <dc:date>2010-03-01T09:16:36Z</dc:date>
      <itunes:author>Ocampo-Martínez, Carlos; Puig Cayuela, Vicenç</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In this report, model predictive control (MPC) of large-scale sewage systems is addressed considering different modelling approaches that include several inherent continuous/discrete phenomena&#xD;
(overflows in sewers and tanks) and elements (weirs) in the system that result in distinct&#xD;
behaviour depending on the dynamic state (&#xD;
flow/volume) of the network. These behaviours&#xD;
can not be neglected nor can be modelled by a pure linear representation. In order the MPC controller takes into account these phenomena and elements, a modelling approach based on piece-wise linear functions is proposed and compared against a hybrid modelling approach previously&#xD;
reported by the authors. Control performance results and associated computation times&#xD;
of the closed-loop scheme considering both modelling approaches are compared by using a real case study based on the Barcelona sewer network.</itunes:summary>
    </item>
    <item>
      <title>Reducció de variables en problemes de control predictiu amb restriccions d'igualtat</title>
      <link>http://hdl.handle.net/2117/6434</link>
      <description>Title: Reducció de variables en problemes de control predictiu amb restriccions d'igualtat
Authors: Joseph Duran, Bernat; Ocampo-Martínez, Carlos
Description: En el següent document es mostra una técnica per utilitzar les restriccions d'igualtat associades a un problema de control predictiu per tal de reduir el nombre de variables que intervenen en aquest problema. Primerament fem un repàs de les notacions i desenvolupament del problema&#xD;
estàndard per veure, després, que mitjançant un canvi lineal el nou problema, amb un nombre inferior de variables, té una estructura completament anàloga. Alguns resultats de temps de computació mostren, en la última secció, la utilitat del mètode.</description>
      <pubDate>Mon, 22 Feb 2010 13:12:51 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/6434</guid>
      <dc:date>2010-02-22T13:12:51Z</dc:date>
      <itunes:author>Joseph Duran, Bernat; Ocampo-Martínez, Carlos</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
    </item>
  </channel>
</rss>

