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    <title>stability</title>
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    <language>fr</language>
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      <title>Nuclear Mesomerie</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3105</link>
      <description>The nucleus is made with nuclear matter. This nuclear matter apparently looks like a gas, a Thomas-Fermi gas, or like a liquid drop Bohr, or like a solid (for the nuclei decaying through super deformed bands of gamma rays). We try to understand these apparent forms of nuclear matter through: the cumulative interaction in the nuclei (a three body nuclear special interaction) and by using the Heisenberg transformation (based on the uncertainty principle on energy and time of the nuclear matter). These cumulative interactions can transform the &quot;gas&quot; nuclei or the &quot;liquid&quot; nuclei or &quot;solid&quot; nuclei in nuclear matter. For a short interval of time, we imagine a Heisenberg partial or total dissolution (transformation)of the nucleus in a &quot;solid&quot; or a &quot;liquid&quot; or a &quot;gas&quot; nucleus. The free nucleons will condense through the cumulative interactions and will reconstruct the quantum structure of the nucleus. These many different states of the bi- or tri- nuclear phases are the mesomeres states of the nucleus with the given total energy, angular momentum, etc. Through these mesomeres states we try to understand the stability of the nucleus in terms of their maximum number. The Heisenberg partial or total dissolution of the nucleus followed by a partial or total quantum reconstruction are an oscillatory movement from chaos (disorder) to the order going through mesomeres states. More are their number bigger is the stability and to the lifetime of the nucleus. A theoretical approach to the mesomeres states can follow the Strutinsky recipe, where the quantum Shell Model correction simulates Heisenberg dissolution process. </description>
      <pubDate>Mon, 09 Sep 2024 09:03:20 +0200</pubDate>
      <lastBuildDate>Mon, 09 Sep 2024 09:03:29 +0200</lastBuildDate>
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    <item>
      <title>Design of a Robust Globally Stabilizing PD-Process Control System</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2160</link>
      <description>We discuss the global asymptotic stabilization of a continuous stirred chemical tank reactor, using linear time invariant PD-control with full state feedback. The control input is the feed temperature or the cooling temperature. The emphasis is placed on the robustness of the design, i.e. the controller globally stabilizes the system's set point without requiring the exact knowledge of the process parameters. The control parameters are tuned by means of a classical root locus analysis of the linearized closed loop dynamics and by simulations of the closed loop transients and phase portraits. The stabilization technique relies on the direct method of Liapunov. </description>
      <pubDate>Tue, 30 Jul 2024 11:56:35 +0200</pubDate>
      <lastBuildDate>Tue, 30 Jul 2024 11:59:14 +0200</lastBuildDate>
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      <title>Inertia and its Implication in Technology</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2055</link>
      <description>In this paper Inertia as a global parameter of system and process is considered. Beginning with the mechanical and electrical processes where a time-delay phenomena appears, the authors give a new definition of Inertia : The Inertia is the system global internal parameter, which produces the entropy increase, as the effect of input variation. The definition is based on system information measurement, to appreciate the level of organization against the entropy. This definition allows analyzing the different systems and determining the major effect on the quality of the processes. </description>
      <pubDate>Fri, 26 Jul 2024 16:15:30 +0200</pubDate>
      <lastBuildDate>Fri, 26 Jul 2024 16:15:41 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2055</guid>
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    <item>
      <title>Examining Stability of Second-Order Slave Systems</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=245</link>
      <description>Dynamical behavior of any second-order linear system is described by a couple of stable and unstable attractors. The same attractors describe behavior of the linearized part of the piecewise-linear (PWL) systems. Using PWL analyses we examine each region separately. In paper there are considered stable and unstable trajectories and Poincare maps. </description>
      <pubDate>Wed, 19 Jun 2024 15:01:07 +0200</pubDate>
      <lastBuildDate>Wed, 19 Jun 2024 15:01:17 +0200</lastBuildDate>
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