Now showing items 1-14 of 14

    • A meta-multiparametric framework: Application to the operation of bio-based energy supply chains 

      Medina González, Sergio Armando; Shokry Abdel-aleem, Ahmed; Silvente Saiz, Javier; Espuña Camarasa, Antonio (2015)
      Article
      Restricted access - publisher's policy
      This paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved ...
    • A meta-multiparametric framework: Application to the operation of bio-based energy supply chains 

      Medina González, Sergio Armando; Shokry Abdel-aleem, Ahmed; Silvente Saiz, Javier; Espuña Camarasa, Antonio (Elsevier, 2015)
      Conference report
      Open Access
      This paper proposes a framework for the analysis of complex optimization problems under uncertainty. The usual multiparametric programing approach is skipped through the use of metamodels to mimic a set of already solved ...
    • Applying Metamodels and Sequential Sampling for Constrained Optimization of Process Operations 

      Shokry Abdel-aleem, Ahmed; Espuña Camarasa, Antonio (2014)
      Conference report
      Restricted access - publisher's policy
      This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the ...
    • Applying metamodels and sequential sampling for constrained optimization of process operations 

      Shokry Abdel-aleem, Ahmed; Espuña Camarasa, Antonio (2014)
      Conference report
      Restricted access - publisher's policy
      This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the ...
    • Data-driven soft-sensors for online monitoring of batch processes with different initial conditions 

      Shokry Abdel-aleem, Ahmed; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Pergamon Press, 2018-10-04)
      Article
      Open Access
      A soft-sensing methodology applicable to batch processes operated under changeable initial conditions is presented. These cases appear when the raw materials specifications differ from batch to batch, different production ...
    • Dynamic surrogate modelling for multistep-ahead prediction of multivariate nonlinear chemical processes 

      Shokry Abdel-aleem, Ahmed; Baraldi, Piero; Zio, Enrico; Espuña Camarasa, Antonio (American Chemical Society (ACS), 2020-07-30)
      Article
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      This work proposes a methodology for multivariate dynamic modeling and multistep-ahead prediction of nonlinear systems using surrogate models for the application to nonlinear chemical processes. The methodology provides a ...
    • Kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes 

      Shokry Abdel-aleem, Ahmed; Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
      Conference report
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      This paper presents a hybrid approach to enhance the performance of the data-based Pattern Classification Techniques (PCTs) used for Fault Detection and Diagnosis (FDD) of nonlinear dynamic noisy processes. The method ...
    • Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-fenton process 

      Shokry Abdel-aleem, Ahmed; Audino, Francesca; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2015)
      Conference report
      Restricted access - publisher's policy
      This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ...
    • Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-Fenton process 

      Shokry Abdel-aleem, Ahmed; Audino, Francesca; Vicente, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2015)
      Conference report
      Restricted access - publisher's policy
      This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ...
    • Multiparametric metamodels for model predictive control of chemical processes 

      Shokry Abdel-aleem, Ahmed; Dombayci, Canan; Espuña Camarasa, Antonio (Elsevier, 2016)
      Conference report
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      This work proposes a Data-Based MultiParametric-Model Predictive Control (DBMPMPC) methodology, which enables simple implementations of explicit MPC in situations when the deep mathematical knowledge required to develop ...
    • Optimal features selection for designing a fault diagnosis system 

      Ardakani, Mohammadhamed; Askarian, Mahdieh; Shokry Abdel-aleem, Ahmed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
      Conference report
      Restricted access - publisher's policy
      Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...
    • Optimal management of bio-based energy supply chains under parametric uncertainty through a data-driven decision-support framework 

      Medina González, Sergio Armando; Shokry Abdel-aleem, Ahmed; Silvente Saiz, Javier; Lupera Calahorrano, Gicela Jazmín; Espuña Camarasa, Antonio (2019-01-01)
      Article
      Open Access
      This paper addresses the optimal management of a multi-objective bio-based energy supply chain network subjected to multiple sources of uncertainty. The complexity to obtain an optimal solution using traditional uncertainty ...
    • Sequential dynamic optimization of complex nonlinear processes based on Kriging surrogate models 

      Shokry Abdel-aleem, Ahmed; Espuña Camarasa, Antonio (2014)
      Conference report
      Open Access
      This paper presents a sequential dynamic optimization methodology applicable to solve the optimal control problem of complex highly nonlinear processes. The methodology is based on the use of kriging metamodels to obtain ...
    • Sequential dynamic optimization of complex nonlinear processes based on Kriging surrogate models 

      Shokry Abdel-aleem, Ahmed; Espuña Camarasa, Antonio (Elsevier, 2014)
      Conference report
      Restricted access - publisher's policy
      This paper presents a sequential dynamic optimization methodology applicable to solve the optimal control problem of complex highly nonlinear processes. The methodology is based on the use of kriging metamodels to obtain ...