Jorge Sofrony
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View article: Forecasting of refractory wall thickness in an electric arc furnace used in ferro-nickel production
Forecasting of refractory wall thickness in an electric arc furnace used in ferro-nickel production Open
The mining industry has overcome many challenges in recent years with the help of cutting-edge technologies such as smart sensors, structural health monitoring, and AI-powered structural control, amongst others.These tools have revolutioni…
View article: Data-Driven Fault Detection in a Thermocouple Network Using Neighboring Redundancy, XGBoost Classifier, and Up–Down Counter
Data-Driven Fault Detection in a Thermocouple Network Using Neighboring Redundancy, XGBoost Classifier, and Up–Down Counter Open
Fault detection and isolation (FDI) is of great interest for the control community since it can drive improved performance in a system by allowing predictive maintenance/repairing and catering for improved operational safety. FDI in large-…
View article: Forecasting of refractory wall thickness in an electric arc furnace used in ferro-nickel production
Forecasting of refractory wall thickness in an electric arc furnace used in ferro-nickel production Open
The mining industry has overcome many challenges in recent years with the help of cutting-edge technologies such as smart sensors, structural health monitoring, and AI-powered structural control, amongst others.These tools have revolutioni…
View article: User study of sensorless adaptive haptic assistance for bilateral teleoperation
User study of sensorless adaptive haptic assistance for bilateral teleoperation Open
This paper presents a sensor-less haptic adaptive assistance scheme for bilateral shared controlled in telerobotics. The paper focuses on the implementation of an adaptive assistance scheme previously developed using force sensors at the m…
View article: Data-Driven Predictive Control of Interconnected Systems Using the Koopman Operator
Data-Driven Predictive Control of Interconnected Systems Using the Koopman Operator Open
Interconnected systems are widespread in modern technological systems. Designing a reliable control strategy requires modeling and analysis of the system, which can be a complicated, or even impossible, task in some cases. However, current…
View article: Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production
Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production Open
The analysis of data from sensors in structures subjected to extreme conditions such as the ones used in smelting processes is a great decision tool that allows knowing the behavior of the structure under different operational conditions. …
View article: A Data Cleaning Approach for a Structural Health Monitoring System in a 75 MW Electric Arc Ferronickel Furnace
A Data Cleaning Approach for a Structural Health Monitoring System in a 75 MW Electric Arc Ferronickel Furnace Open
Within a model of scientific and technical cooperation between the smelting company Cerro Matoso S.A. (CMSA) and the Universidad Nacional de Colombia (UNAL), a project was developed in order to take advantage of the data that were obtained…
View article: Deep Learning for the Prediction of Temperature Time Series in the Lining of an Electric Arc Furnace for Structural Health Monitoring at Cerro Matoso (CMSA)
Deep Learning for the Prediction of Temperature Time Series in the Lining of an Electric Arc Furnace for Structural Health Monitoring at Cerro Matoso (CMSA) Open
Cerro Matoso SA (CMSA) is located in Montelibano, Colombia. It is one of the biggest producers of ferronickel in the world. The structural health monitoring process performed in the electric arc furnaces at CMSA is of great importance in t…
View article: Adaptive Synchronization of Heterogeneous Multi-Agent Systems: A Free\n Observer Approach
Adaptive Synchronization of Heterogeneous Multi-Agent Systems: A Free\n Observer Approach Open
Adaptive synchronization protocols for heterogeneous multi-agent network are\ninvestigated. The interaction between each of the agents is carried out through\na directed graph. We highlight the lack of communication between agents and the\…
View article: Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty
Adaptive Control for Unknown Heterogeneous Vehicles Synchronization with Unstructured Uncertainty Open
The cooperative control applied to vehicles allows the optimization of traffic on the roads. There are many aspects to consider in the case of the operation of autonomous vehicles on highways since there are different external parameters t…
View article: Adaptive Distributed Control for Large-Scale Systems with Unknown Interconnection
Adaptive Distributed Control for Large-Scale Systems with Unknown Interconnection Open
This paper presents a distributed adaptive control law for large-scale systems with unknown interconnection parameters. An adaptive control law is designed to follow-up a model reference for a network through a controller that adjusts its …
View article: Cooperative Output Regulation for Multi-Agent Systems with EDMD Leader Approximation
Cooperative Output Regulation for Multi-Agent Systems with EDMD Leader Approximation Open
This paper presents a distributed output regulation algorithm for the leader-follower heterogeneous multi-agent system with unknown leader dynamics. The unknown nonlinear dynamics of the leader agent are reconstructed based on a data-drive…
View article: Data-Driven Analysis of Mass-Action Kinetics
Data-Driven Analysis of Mass-Action Kinetics Open
The physical interconnection of spatial distributed biochemical systems has some advantages when dealing with large-scale problems that require separated agents to be con- trolled locally but with an overall objective. The analysis and con…
View article: An alternative approach to anti-windup in anticipation of actuator saturation
An alternative approach to anti-windup in anticipation of actuator saturation Open
Traditionally, an anti-windup compensator is activated when control signal saturation occurs. An alternative approach is to activate the compensator at a level below that of the physical control constraints: the anti-windup compensator is …
View article: Alternative approach to anti-windup synthesis for double integrator systems
Alternative approach to anti-windup synthesis for double integrator systems Open
This paper presents a simple approach for anti-windup synthesis for double integrator systems. The parameters of the anti-windup compensator can be chosen using simple linear-based guidelines which, nevertheless, also provide nonlinear sta…