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12 results on '"Molano Jiménez, Andrés"'

1. Hypoglycemia Prevention Using an Embedded Model Control with a Safety Scheme: In-silico Test

Author

Leon-Vargas, Fabian, Jutinico, Andres L., Molano-Jimenez, Andres, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Panuccio, Gabriella, editor, Rocha, Miguel, editor, Fdez-Riverola, Florentino, editor, Mohamad, Mohd Saberi, editor, and Casado-Vara, Roberto, editor

Published
2021
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3. Embedded Model Control approach to robust control

Author

Canuto, Enrico, Acuna-Bravo, Wilber, Molano-Jimenez, Andrés, Ospina, José, and Perez-Montenegro, Carlos

Subjects
Computer Science - Systems and Control, Mathematics - Optimization and Control
Abstract

Robust control design is mainly devoted to guarantee closed-loop stability of a model-based control law in presence of parametric and structural uncertainties. The control law is usually a complex feedback law which is derived from a (nonlinear) model, possibly complemented with some mathematical envelope of the model uncertainty. Stability may be guarantee with the help of some ignorance coefficients and restricting the feedback control effort with respect to the model-based design. Embedded Model Control shows that under certain conditions, the model-based control law must and can be kept intact under uncertainty, if the controllable dynamics is complemented by a suitable disturbance dynamics capable of real-time encoding the different uncertainties affecting the 'embedded model', i.e. the model which is both the design source and the core of the control unit. To be real-time updated the disturbance state is driven by an unpredictable input vector, called noise, which can be only estimated from the model error. The uncertainty (or plant)-based design concerns the noise estimator, as the model error may convey into the embedded model uncertainty components (parametric, cross-coupling, neglected dynamics) which are command-dependent and thus prone to destabilize the controlled plant. Separation of the components into the low and high frequency domain by the noise estimator allows to recover and guarantee stability, and to cancel the low frequency ones from the plant. Among the advantages, control algorithms are neatly and univocally related to the embedded model, the embedded model provides a real-time image of the plant, all control gains are tuned by fixing closed-loop eigenvalues. Last but not least, the resulting control unit has modular structure and algorithms, thus facilitating coding. A simulated case study helps to understand the key assets of the methodology., Comment: Paper presented at the AUTOMATICA_IT 2011 conference, Pisa, Italy, September 2011. A simplified version has been presented at the 30th Chinese Control Conference, Yantai (China), July 22-24, 2011, 6267-6273, ISBN: 9789881725592. A simplified version has been subimitted to ISA Transactions, 2011

Published
2011

9. Interval Simulator of the Glucose-Insulin System

Author

García Jaramillo, Maira Alejandra, León Vargas, Fabián, Rosales, Nicolás, Molano Jiménez, Andrés, and Garelli, Fabricio

Subjects
GLUCOSE-INSULIN SYSTEM, INSULIN-ON-BOARD, DIABETES, UNCERTAINTY, Control Automático y Robótica, INTERVAL SIMULATION, INGENIERÍAS Y TECNOLOGÍAS, Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
Abstract

In this paper, an interval simulator that considers different sources of uncertainty to estimate the blood glucose level of type 1 diabetes patients is presented. In particular, this study examines a model that includes the dynamics from the insulin delivery input to the subcutaneous-glucose concentration output, and a model that estimates the insulin-on-board considering uncertainty. Each model is studied using modal interval analysis to achieve an optimal computation. The simulator includes several interval models that can be combined with each other in order to expand possibilities in the design and assessment of the glucose regulation algorithms and insulin therapies for diabetes patients. The main features of the interval simulator are shown in this work. Fil: García Jaramillo, Maira Alejandra. Universidad Ean; Colombia Fil: León Vargas, Fabián. Universidad Antonio Nariño; Colombia Fil: Rosales, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina Fil: Molano Jiménez, Andrés. Universidad Antonio Nariño; Colombia Fil: Garelli, Fabricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina

Published
2019
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10. Embedded model control, performance limits: A case study

Author

Acuña-Bravo, Wilber, Molano-Jiménez, Andrés, and Canuto, Enrico

Subjects
disturbance estimator, estimador de disturbios, controlador PID, model uncertainty, PID controller, Control basado en modelo, incertidumbre en el modelo, Model Based Control
Abstract

This paper presents the analysis and implementation of two control laws applied on a case study. The first one and main focus of this work is the Embedded Model Control whose main characteristics are the active disturbance rejection and uncertainties handling. Here diverse control parameters are tested such that performance limits are exposed due to model limitations. On the other hand there is a classic PID control law, based on operations on the trajectory error as a control paradigm that not requires an explicit model for its physical implementation. The implementation and tests are made on a commercial didactic process, where performance and disturbance rejection properties are verified, showing that even with this simple process the performance may be gracefully degraded as a consequence of the absence of the system model embedded in the control law. Resumen Este trabajo presenta el análisis e implementación de dos leyes de control aplicadas en un caso de estudio. La primera y el enfoque principal de este trabajo es el control a modelo embebido cuyas características fundamentales son la cancelación activa de disturbios y el manejo de incertidumbres. Aquí se prueban diferentes configuraciones para los parámetros del control logrando que los límites en el desempeño queden expuestos debido a las limitaciones del modelo. Por otro lado se encuentra la ley de control PID clásica basada en acciones sobre el error de trayectoria como un paradigma de control que no requiere de un modelo para su ejecución. La implementación y pruebas se hacen en una planta didáctica comercial, donde se verifican las propiedades de desempeño y rechazo a perturbaciones mostrando que aun en este simple proceso el desempeño puede verse degradado debido a la ausencia de un modelo de la planta embebido en la ley de control

Published
2017

12. Embedded model control, performance limits: A case study

Author

Acuña Bravo, Wilber, Molano Jiménez, Andrés, Canuto, Enrico, Acuña Bravo, Wilber, Molano Jiménez, Andrés, and Canuto, Enrico

Abstract

This paper presents the analysis and implementation of two control laws applied on a case study. The first one and main focusof this work is the Embedded Model Control whose main characteristics are the active disturbance rejection and uncertainties handling. Here diverse control parameters are tested such that performance limits are exposed due to model limitations. On the other hand there is aclassic PID control law, based on operations on the trajectory error as a control paradigm that not requiresan explicit model for its physical implementation. The implementation and tests are made on a commercial didactic process, where performance and disturbance rejection properties are verified, showing that even with this simple process the performance may be gracefully degraded as a consequence of the absence of the system model embedded in the control law., Este trabajo presenta el análisis e implementación de dos leyes de control aplicadas en un caso de estudio. La primera y el enfoque principal de este trabajo es el control a modelo embebido cuyas características fundamentales son la cancelación activa de disturbios y el manejo de incertidumbres. Aquí se prueban diferentes configuraciones para los parámetros del control logrando que los límites en el desempeño queden expuestos debido a las limitaciones del modelo. Por otro lado se encuentra la ley de control PID clásica basada en acciones sobre el error de trayectoria como un paradigma de control que no requiere de un modelo para su ejecución. La implementación y pruebas se hacen en una planta didáctica comercial, donde se verifican las propiedades de desempeño y rechazo a perturbaciones mostrando que aun en este simple proceso el desempeño puede verse degradado debido a la ausencia de un modelo de la planta embebido en la ley de control

Published
2017

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