A5070122062- Diabetes Management and Research
- Advanced Control Systems Optimization
- Pancreatic function and diabetes
- Diabetes and associated disorders
- Viral Infectious Diseases and Gene Expression in Insects
- Microbial Metabolic Engineering and Bioproduction
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Control Systems Design
- Robotic Path Planning Algorithms
- Robotic Mechanisms and Dynamics
- COVID-19 epidemiological studies
- Robot Manipulation and Learning
- Wastewater Treatment and Nitrogen Removal
- Iterative Learning Control Systems
- Distributed Control Multi-Agent Systems
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Control and Dynamics of Mobile Robots
- Numerical Methods and Algorithms
- Extremum Seeking Control Systems
- Enzyme Catalysis and Immobilization
- Mathematical and Theoretical Epidemiology and Ecology Models
- Hydraulic and Pneumatic Systems
- Ammonia Synthesis and Nitrogen Reduction
Universidad Nacional de La Plata
2015-2024
Consejo Nacional de Investigaciones Científicas y Técnicas
2015-2024
Centro Científico Tecnológico - San Juan
2018-2023
Comisión de Investigaciones Científicas
2021
Centro Científico Tecnológico - La Plata
2009-2019
National University of Rosario
2018
Centro Científico Tecnológico - Tucumán
2015-2017
University of Padua
1999
The artificial pancreas aims at the automatic delivery of insulin for glycemic control in patients with type 1 diabetes, i.e., closed-loop glucose control. One challenges is to avoid controller overreaction leading hypoglycemia, especially late postprandial period. In this study, an original proposal based on sliding mode reference conditioning ideas presented as a way reduce hypoglycemia events induced by controller. method inspired intuitive advantages two-step constrained algorithms. It...
This brief presents a reactive reference conditioning algorithm for robot collision avoidance based on geometric invariance and sliding-mode (SM) ideas. First, constraints are defined in terms of the measurements given by robot's sensors order to guarantee that collisions will not occur. Then, supervisory loop ensures fulfillment modifying trajectory as much necessary means discontinuous control law. The proposed activates only when about be violated and, thus, contrast conventional SM...
Background: Emerging therapies such as closed-loop (CL) glucose control, also known artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of (ARG) algorithm mitigates postprandial excursions without feedforward insulin boluses. This work assesses feasibility this new strategy a clinical trial....
In this work, a low-order model designed for glucose regulation in Type 1 Diabetes Mellitus (T1DM) is obtained from the UVA/Padova metabolic simulator. It captures not only nonlinear behavior of glucose-insulin system, but also intra-patient variations related to daily insulin sensitivity ( SI) changes. To overcome large inter-subject variability, can be personalized based on priori patient information. The structure amenable linear parameter varying (LPV) controller design, and represents...