Jorge Humberto Urrea-Quintero

Jorge Humberto Urrea-Quintero
Leibniz Universität Hannover · Institute of Mechanics and Computational Mechanics

Doctor of Engineering
Discovering the complexity of the world through the lenses of mathematics.

About

22
Publications
9,326
Reads
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194
Citations
Citations since 2017
17 Research Items
192 Citations
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Introduction
I am a researcher with a strong background in applied mathematics and computational methods in engineering. My current research interests are placed on contributing to answering the longstanding question of: how physics-based models can benefit from machine learning techniques to minimize models and real systems mismatches by accurately quantifying their uncertainty sources?
Additional affiliations
October 2019 - December 2020
Leibniz Universität Hannover
Position
  • Research Assistant
Description
  • This project focuses on the computational modeling of the Ca-alginate gelation process for biomedical applications.
January 2016 - December 2019
University of Antioquia
Position
  • Researcher
Description
  • The research was focused on the development of a control-oriented model from a multiscale perspective of an emulsion polymerizarion process.
January 2014 - December 2015
University of Antioquia
Position
  • Researcher
Description
  • The project aim was the design and control of a shunt active power filter to compensate the inefficiencies of unbalanced nonlinear loads in a medium power electric grid.
Education
January 2016 - December 2019
University of Antioquia
Field of study
  • Chemical Processes Optimization and Control
January 2014 - December 2015
University of Antioquia
Field of study
  • Design and Control of Power Electronic Converters
January 2007 - September 2013
National University of Colombia
Field of study
  • Control Engineering

Publications

Publications (22)
Article
Full-text available
Main objective of this paper is the optimal distribution of the fundamental non-efficient load current terms between the inverters —Energy Gateways (EGs)— connected in grid-tied microgrids (MGs). The main feature of the presented approach is the use of the EGs as controlled current sources that can compensate fundamental non-efficient load current...
Article
This work presents an hp-adaptive variant of multi-element polynomial chaos expansion (ME-gPCE), referred to as anisotropic multi-element polynomial chaos expansion (AME-gPCE). The main advantage of the proposed framework is that the basis functions of the local gPCE are selected adaptively within each local element. The p-adaptivity allows the ord...
Article
This work presents an hp-adaptive variant of multi-element polynomial chaos expansion (ME-gPCE), referred to as anisotropic multi-element polynomial chaos expansion (AME-gPCE). The main advantage of the proposed framework is that the basis functions of the local gPCE are selected adaptively within each local element. The p-adaptivity allows the ord...
Article
Full-text available
Closed forms of stabilizing sets are generally only available for linearized systems. An innovative numerical strategy to estimate stabilizing sets of PI or PID controllers tackling (uncertain) nonlinear systems is proposed. The stability of the closed-loop system is characterized by the sign of the largest Lyapunov exponent (LLE). In this framewor...
Article
Full-text available
Without a cure, vaccine, or proven long-term immunity against SARS-CoV-2, test-trace-and-isolate (TTI) strategies present a promising tool to contain its spread. For any TTI strategy, however, mitigation is challenged by pre- and asymptomatic transmission, TTI-avoiders, and undetected spreaders, which strongly contribute to ”hidden" infection chain...
Article
Full-text available
This paper presents the robust control of Three-Leg Split-Capacitor Shunt Active Power Filters (TLSC SAPFs) by means of structured $H\infty$ controllers for reactive, unbalanced, and harmonic compensation and the DC-link bus voltage regulation. Robust controller synthesis is performed based on the TLSC SAPF dynamical model including power losses in...
Preprint
Full-text available
Closed-forms of stabilizing sets are generally only available for linearized systems. An innovative numerical strategy to estimate stabilizing sets of PI or PID controllers tackling (uncertain) nonlinear systems is proposed. The stability of the closed-loop system is characterized by the sign of the largest Lyapunov exponent (LLE). In this framewor...
Preprint
Full-text available
Without a cure, vaccine, or proven long-term immunity against SARS-CoV-2, test-trace-and-isolate (TTI) strategies present a promising tool to contain the viral spread. For any TTI strategy, however, a major challenge arises from pre- and asymptomatic transmission as well as TTI-avoiders, which contribute to hidden, unnoticed infection chains. In ou...
Article
A multiscale modeling description of free-radical polymerization processes is presented. The polymerization process is described at the macroscale by coupling the Fokker-Planck Equation (FPE) for the particle size distribution (PSD) prediction at the mesoscale with a kinetic Monte Carlo (kMC) simulation at the microscale. The finite element method...
Article
Full-text available
This work presents a framework for evaluating the controllability of multiscale systems based on a set-theoretic approach. Calculation of the Controllable Trajectories Set is the core of the set-theoretic approach. From a multi-scale perspective, such calculation is a computationally- intractable problem. Therefore, to overcome the intrinsic curse...
Article
Full-text available
Free-radical emulsion polymerization is a heterogeneous process where simultaneous and competitive physicochemical events occur over a wide range of time/length scales. Although a highly accurate representation of the process is possible by multiscale modeling, common approaches face several issues, including the stochastic nature of finer scales,...
Chapter
Full-text available
In control systems, the actual output is compared with the desired value so a corrective action maintains an established behavior. The industrial controller most widely used is the proportional integral derivative (PID). For PIDs, the process is represented in a transfer function. The linear quadratic regulator (LQR) controller needs a state space...
Article
Full-text available
This paper deals with the DC-bus control problem for three-leg four-wires Shunt Active Power Compensators (SAPCs), based on the solution of a mathematical model. Starting with the SAPC concept a mathematical model with enough information to deduce the transfer function that describes the charging/discharging DC-bus process is proposed. A PI control...
Chapter
Full-text available
PID stands for “proportional, integral, derivative” The PID controller is the most widely used industrial device for monitoring and controlling processes. Those three elements are the basics of a PID Controller. Each one performs a different task and has a different effect on the functioning of a system. The expected behavior of a system depends of...
Chapter
The Proportional Integral Derivative (PID) controller is the most widely used industrial device to monitoring and controlling processes. There are numerous methods for estimating the controller parameters, in general, resolving particular cases. Current trends in parameter estimation minimize an integral performance criterion. Therefore, the calcul...
Article
Full-text available
The Proportional Integral Derivative (PID) controller is the most widely used industrial device to monitoring and controlling processes. There are numerous methods for estimating the controller parameters, in general, resolving particular cases. Current trends in parameter estimation minimize an integral performance criterion. Therefore, the calcul...
Article
Full-text available
The Proportional Integral Derivative controller is the most widely used industrial device for monitoring and controlling processes. Although there are alternatives to the traditional rules of tuning, there is not yet a study showing that the use of heuristic algorithms it is indeed better than using the classic methods of optimal tuning. Current tr...
Conference Paper
Photovoltaic panels have become an important option for supplying electric energy demand, as they transform the energy coming from the sun into electric energy. One of the main goals of this kind of systems is to extract the maximum power from the panel. In this paper it is proposed to use the P&O algorithm working together with a PID controller; t...

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