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    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2117/7219</link>
    <description />
    <pubDate>Thu, 23 May 2013 04:02:31 GMT</pubDate>
    <dc:date>2013-05-23T04:02:31Z</dc:date>
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      <itunes:email>webmaster.bupc@upc.edu</itunes:email>
      <itunes:name>Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació</itunes:name>
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      <title>Simultaneous Interconnection and Damping Assignment Passivity-Based Control: Two Practical Examples</title>
      <link>http://hdl.handle.net/2117/6084</link>
      <description>Title: Simultaneous Interconnection and Damping Assignment Passivity-Based Control: Two Practical Examples
Authors: Batlle Arnau, Carles; Dòria Cerezo, Arnau; Espinosa Pérez, Gerardo; Ortega, Romeo
Abstract: Passivity-based control (PBC) is a generic name given to a family of controller design techniques that achieves system stabilization via the route of passivation, that is, rendering the closed-loop system passive with a desired storage function (that usually qualifies as a Lyapunov function for the stability analysis.) If the passivity property turns out to be output strict, with an output signal with respect to which the system is detectable, then asymptotic stability is ensured.</description>
      <pubDate>Mon, 14 Dec 2009 09:03:05 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/6084</guid>
      <dc:date>2009-12-14T09:03:05Z</dc:date>
      <itunes:author>Batlle Arnau, Carles; Dòria Cerezo, Arnau; Espinosa Pérez, Gerardo; Ortega, Romeo</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Passivity-based control, PBC, Control bassat en passivitat, Control basado en pasividad, Robust control, Control robust</itunes:keywords>
      <itunes:summary>Passivity-based control (PBC) is a generic name given to a family of controller design techniques that achieves system stabilization via the route of passivation, that is, rendering the closed-loop system passive with a desired storage function (that usually qualifies as a Lyapunov function for the stability analysis.) If the passivity property turns out to be output strict, with an output signal with respect to which the system is detectable, then asymptotic stability is ensured.</itunes:summary>
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      <title>Semi-Dynamic Demand in a Non-Permutation Flowshop with Constrained Resequencing Buffers.</title>
      <link>http://hdl.handle.net/2117/6072</link>
      <description>Title: Semi-Dynamic Demand in a Non-Permutation Flowshop with Constrained Resequencing Buffers.
Authors: Färber, Gerrit Hartmut; Salhi, Said; Coves Moreno, Anna Maria
Abstract: This work presents the performance comparison of two conceptually different approaches for a mixed model non-permutation flowshop production line. The demand is a semi-dynamic demand with a fixed job sequence for the first station. Resequencing is permitted where stations have access to intermediate or centralized resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. An exact approach, using Constraint Logic Programming (CLP), and a heuristic approach, a Genetic Algorithm (GA), were applied.</description>
      <pubDate>Mon, 30 Nov 2009 11:10:44 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/6072</guid>
      <dc:date>2009-11-30T11:10:44Z</dc:date>
      <itunes:author>Färber, Gerrit Hartmut; Salhi, Said; Coves Moreno, Anna Maria</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Semi-dynamic demand, Constraint Logic Programming, Genetic Algorithm, Non-Permutation Flowshop, Mixed model assembly line, Demanda semi-dinámica, Programación lógica con restricciones, Programació lògica amb restriccions, Algoritmo genético, Algoritme genètic, Línea de montaje de modelo mixto, Línia de muntatge de model mixt</itunes:keywords>
      <itunes:summary>This work presents the performance comparison of two conceptually different approaches for a mixed model non-permutation flowshop production line. The demand is a semi-dynamic demand with a fixed job sequence for the first station. Resequencing is permitted where stations have access to intermediate or centralized resequencing buffers. The access to the buffers is restricted by the number of available buffer places and the physical size of the products. An exact approach, using Constraint Logic Programming (CLP), and a heuristic approach, a Genetic Algorithm (GA), were applied.</itunes:summary>
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