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Creators/Authors contains: "Espinosa, Luis"

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  1. ; ; ; ; ; ; ; ; ; (, IEEE)
    Full Text Available 
  2. ; (, Frontera norte)
    This paper identifies the Trump administration’s violent practices toward Central American and Mexican asylum-seeking families as a defensive response to the legal framework that grants them this protection tool in their relationship with the State. Through in-depth interviews and participant observation with migrant families in Tijuana during 2017-2020, it is concluded that the various measures implemented sought to limit asylum as a right and to configure an illegal subject based on suspicion, criminalization, and trauma. In this way, it was sought to reverse the character of legality that protects asylum seekers and rebuild a dominant vertical relationship of racialized subjection. The analysis seeks to contribute to migration studies by understanding the tension between the legality of asylum and the Trump administration’s actions to disrupt this framework. 
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  3. ; ; ; ; (, ACS Macro Letters)
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  4. ; (, IEEE Transactions on Power Systems)
    null (Ed.)
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  5. ; ; (, 59th IEEE Conference on Decision and Control)
    null (Ed.)
    Accepted Manuscript Full Text Available
  6. ; ; ; (, Electric Power Systems Research)
    null (Ed.)
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  7. ; ; (, Automatica)
    null (Ed.)
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  8. ; ; (, Proc. 24st International Conference on System Theory, Control and Computing)
    null (Ed.)
    A new learning methodology in terms of a discretization of a so-called Chen-Fliess series of a control affine nonlinear system was recently proposed, in part, for the purpose of systematically including system structure and expert knowledge into control strategies. The main objective of this paper is to appropriately embed this learning unit as a supporting predictive controller for power dynamical systems. In particular, an infinite bus system is used for the prototype design of a smart and active control policy to regulate voltage and frequency. It is demonstrated by simulation how a controller employing a Chen-Fliess learning unit can recover from a fault and address modeling mismatch. 
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  9. ; ; ; (, XXI Power Systems Computation Conference)
    Accepted Manuscript Full Text Available
  10. ; ; ; (, XXI Power Systems Computation Conference)
    null (Ed.)
    Accepted Manuscript Full Text Available