Control Automático
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capítulo de libro.listelement.badge The ARG algorithm: clinical trials in Argentina(2019) Colmegna, Patricio; Garelli, Fabricio; De Battista, Hernán; Bianchi, Fernando D.; Sánchez-Peña, Ricardo"The objective of this work is to present a brief review of the control design problem for glucose regulation in T1DM. In particular, control-oriented models, and robust and time-varying controllers will be mentioned. Characteristics of diabetes in general and T1DM in particular in the context of Latin America will be described. Finally, the Automatic Regulation of Glucose (ARG) algorithm will be presented, including in silico and clinical results."artículo de publicación periódica.listelement.badge Automatic regulatory control in type 1 diabetes without carbohydrate counting(2018-05) Colmegna, Patricio; Garelli, Fabricio; De Battista, Hernán; Sánchez-Peña, Ricardo"A new approach to automatically regulate the glucose level in type 1 diabetes is presented in this work. This is the so-called Automatic Regulation of Glucose (ARG) algorithm, which is based on a switched Linear Quadratic Gaussian (LQG) inner controller, combined with an outer sliding mode safety loop with Insulin on Board (IOB) constraints. In silico and in vivo results without feedforward insulin boluses delivered at meal times indicate that safe blood glucose control can be achieved by the proposed controller. This controller is simple to migrate to well-known hardware platforms, and intuitive to tune using a priori clinical information."ponencia en congreso.listelement.badge Closed-loop in neuroscience: can a brain be controlled?(2018) García Violini, Demián; Bertone-Cueto, Nicolás I.; Martínez, Sebastián; Chiesa Docampo, Franco; de la Fuente, Verónica; Belluscio, Mariano; Piriz, Joaquín; Sánchez-Peña, Ricardo"An experimental setup capable of stimulating, inhibiting, sensing, processing and analyzing a iological system is presented. The experimental setup is based on open-source, open hardware commercial devices. It can be applied to record and control neuronal activity, for example to stablish causal links between neurons and behavior in a closed-loop fashion. Cells or group of cells can be triggered by acoustical, electrical or light impulses. This last case is based on a technique defined as optogenetics. The latter is used in an example that reads and controls neuronal activity of a population of neurons in laboratory rats forcing them to transition between neuronal states, illustrates the system developed in this work. Index Terms—Optogenetics, closed-loop, automatic control, open-source, open-hardware."artículo de publicación periódica.listelement.badge Industry engagement with control research: perspective and messages(2020) Samad, Tariq; Bauer, Margret; Bortoff, Scott; Di Cairano, Stefano; Fagiano, Lorenzo; Odgaard, Peter Fogh; Rhinehart, R. Russell; Sánchez-Peña, Ricardo; Serbezov, Atanas; Ankersen, Finn; Goupil, Philippe; Grosman, Benyamin; Heertjes, Marcel; Mareels, Iven; Sosseh, Raye"Despite the enormous benefit that has accrued to society from control technology and the continuedvitality of control science as a research field, there is broad consensus that the practitioners of control andthe academic research community are insufficiently engaged with each other. We explore this concernwith reference to the oft-cited theory/practice gap but also from an industry perspective. The core ofthis article is comprised of ten “messages,”intended primarily for researchers interested in the practicalimpact of their work, that we hope shed insight on the industry mindset. Results from surveys and otherdata are cited to underpin the points. Some educational synergies between industry and academia arealso noted. To highlight the continuing relevance of control science to industry, several recent examples ofsuccessful, deployed advanced control solutions are presented. The authors of this article are members ofthe IFAC Industry Committee, formally established in 2017 with objectives that include (per the updatedIFAC Constitution) “increasing industry participation in and impact from IFAC activities.”"ponencia en congreso.listelement.badge LPV control of glucose for diabetes type I(2010) Sánchez-Peña, Ricardo; Ghersin, Alejandro S."This paper considers the problem of automatically controlling the glucose level in a Diabetes type I patient. Three issues have been considered: model uncertainty, timevarying/nonlinear phenomena and controller implementation. To that end, the dynamical model of the insulin/glucose relation is framed as a Linear Parameter Varying system and a controller is designed based on it. In addition, this framework allows not only a better performance than other classical methods, but also provides stability and performance guarantees. Design computations are based on convex Linear Matrix Inequality (LMI) optimization. Implementation is based on a low order controller whose dynamics adapts according to the glucose levels measured in real-time."artículo de publicación periódica.listelement.badge Non-pharmaceutical intervention to reduce COVID-19 impact in Argentina(2021-06-21) García Violini, Demián; Sánchez-Peña, Ricardo; Moscoso-Vásquez, Marcela; Garelli, Fabricio"This work is focused on the multilevel control of the population confinement in the city of Buenos Aires and its surroundings due to the pandemic generated by the COVID-19 outbreak. The model used here is known as SEIRD and two objectives are sought: a time-varying identification of the infection rate and the inclusion of a controller. A control differential equation has been added to regulate the transitions between confinement and normal life, according to five different levels. The plasma treatment from recovered patients has also been considered in the control algorithm. Using the proposed strategy the ICU occupancy is reduced, and as a consequence, the number of deaths is also decreased."artículo de publicación periódica.listelement.badge Non-pharmaceutical intervention to reduce COVID-19 impact in Argentina(2022-05) García Violini, Demián; Sánchez-Peña, Ricardo; Moscoso-Vásquez, Marcela; Garelli, Fabricio"This work is focused on the multilevel control of the population confinement in the city of Buenos Aires and its surroundings due to the pandemic generated by the COVID-19 outbreak. The model used here is known as SEIRD and two objectives are sought: a time-varying identification of the infection rate and the inclusion of a controller. A control differential equation has been added to regulate the transitions between confinement and normal life, according to five different levels. The plasma treatment from recovered patients has also been considered in the control algorithm. Using the proposed strategy the ICU occupancy is reduced, and as a consequence, the number of deaths is also decreased."artículo de publicación periódica.listelement.badge Reducing glucose variability due to meals and postprandial exercise in TI DM using switched LPV control: in silico studies(2016) Colmegna, Patricio; Sánchez-Peña, Ricardo; Gondhalekar, Ravi; Dassau, Eyal; Doyle III, Frank J."Time-varying dynamics is one of the main issues for achieving safe blood glucose control in type I diabetes mellitus (TI DM) patients. In addition, the typical disturbances considered for controller design are meals, which increase the glucose level, and physical activity (PA), which increases the subject's sensitivity to insulin. In previous works the authors have applied a linear parameter-varying (LPV) control technique to manage unannounced meals."artículo de publicación periódica.listelement.badge Time-varying procedures for insulin-dependent diabetes mellitus control(2011-03) Sánchez-Peña, Ricardo; Ghersin, Alejandro S.; Bianchi, Fernando D."This work considers the problem of automatically controlling the glucose level in insulin dependent diabetes mellitus (IDDM) patients. The objective is to include several important and practical issues in the design: model uncertainty, time variations, nonlinearities, measurement noise, actuator delay and saturation, and real time implementation. These are fundamental issues to be solved in a device implementing this control. Two time-varying control procedures have been proposed which take into consideration all of them: linear parameter varying (LPV) and unfalsified control (UC). The controllers are implemented with low-order dynamics that adapt continuously according to the glucose levels measured in real time in one case (LPV) and by controller switching based on the actual performance in the other case (UC). Both controllers have performed adequately under all these practical restrictions, and a discussion on pros and cons of each method is presented at the end."