Listar Facultad Regional San Francisco por autor "Cappelletti, Carlos A."

Mostrando ítems 1-5 de 5

  • A Procedure for Determination of Reduced Polytopic Models Based on Robust Multi-Model Representation of Large Dimensions 

    Cappelletti, Carlos A.; Pipino, Hugo; Bernardi, Emanuel; Adam, Eduardo J.; 0009-0009-7416-6955; 0000-0003-4937-6685; 0000-0001-5248-9352; 0000-0003-0156-9832 (Universidad Nacional de Misiones. Facultad de Ingeniería., 2023-11-03)
    This study entails a meticulous examination of the dynamic characteristics exhibited by the continuous stirred tank reactor (CSTR) with the objective of establishing a robust multi-model representation that accurately ...

  • Adaptive multi-model predictive control applied to continuous stirred tank reactor 

    Pipino, Hugo; Cappelletti, Carlos A.; Adam, Eduardo J.; 0000-0003-4937-6685; 0009-0009-7416-6955; 0000-0003-0156-9832 (2021-02-06)
    This paper investigates the design of a Model Predictive Control ( MPC ) formulation for the case of poly- topic multi-model system representation. An adaptive MPC is developed taking into account the schedul- ing parameters ...

  • Adaptive Predictive Control for Industrial Processes 

    Bernardi, Emanuel; Pipino, Hugo; Cappelletti, Carlos A.; Adam, Eduardo J.; 0000-0001-5248-9352; 0000-0003-4937-6685; 0009-0009-7416-6955; 0000-0003-0156-9832 (IEEE, 2021-11-05)
    In this work a predictive controller formulation is developed within a linear parameter-varying formalism, which serves as a non-linear process model. The proposed strategy is an adaptive Model-based Predictive Controller ...

  • Formulación de un LPV-MPC Adaptativo para Procesos Industriales No Lineales. 

    Pipino, Hugo; Bernardi, Emanuel; Morato, Marcelo M.; Cappelletti, Carlos A.; Adam, Eduardo J.; Normey-Rico, Julio E. (2020-10-28)
    En general los procesos de la industria química son no lineales, lo que hace que los algoritmos convencionales de control predictivo lineal resulten no factibles. Por lo tanto, este artículo investiga una formulación de ...

  • Optimum Multiobjective Regulator with Variable Gain Matrix Applied to an Industrial Process 

    Cappelletti, Carlos A.; Bernardi, Emanuel; Pipino, Hugo; Adam, Eduardo J. (2018-11-09)
    In this paper, it is presented the design and tuning of a robust multi-objective regulator, with variable gain matrix through Linear Matrix Inequalities (LMI). The tuning presented here guarantees for an uncertain model ...