Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648409
Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini
Hospital facilities are considered to be some of the buildings with the highest consumption per unit of floor area, due to the use of the functions performed in each hospital area and the need to ensure strict conditions for the habitability of its users. On the other hand, it has been detected that in the hospital network there are different construction systems in terms of the characteristics of the building envelope for the same hospital areas. This is due to the fact that they have been designed in different time contexts, responding to different criteria and regulations. In the current context, which leads to the need to provide energy efficiency solutions in a strategic way, this work provides a tool for the detection of the situations that present greater heat loss by the building envelopes. Thus, by applying the calculator developed to the same hospital area distributed in different buildings, an indicator of heat loss through the building envelope per unit of floor area is obtained. The results achieved make it possible to direct specific measures to the most critical situations, which will make it possible to save resources for building envelope refurbishment when implementing alternative energy strategies.
{"title":"Development of a Tool for the Identification and energy Analysis of buildings’ envelopes of different Hospital Areas","authors":"Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini","doi":"10.1109/RPIC53795.2021.9648409","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648409","url":null,"abstract":"Hospital facilities are considered to be some of the buildings with the highest consumption per unit of floor area, due to the use of the functions performed in each hospital area and the need to ensure strict conditions for the habitability of its users. On the other hand, it has been detected that in the hospital network there are different construction systems in terms of the characteristics of the building envelope for the same hospital areas. This is due to the fact that they have been designed in different time contexts, responding to different criteria and regulations. In the current context, which leads to the need to provide energy efficiency solutions in a strategic way, this work provides a tool for the detection of the situations that present greater heat loss by the building envelopes. Thus, by applying the calculator developed to the same hospital area distributed in different buildings, an indicator of heat loss through the building envelope per unit of floor area is obtained. The results achieved make it possible to direct specific measures to the most critical situations, which will make it possible to save resources for building envelope refurbishment when implementing alternative energy strategies.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130219729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648452
Luciano Carmona, Pablo F. Diez, E. Laciar, V. Mut
The amplitude of steady-state evoked potentials are modulated by the attention-level payed to the stimuli. In this manuscript, the effects of the multisensory stimulation (auditory and visual) are evaluated for generation of commands in a brain-computer interface experiment. Electroencephalographic signals were acquired from disposable electrodes on non-hair positions along with occipital electrodes. Three visual stimuli were presented at 37, 38 and 39 Hz and two amplitude modulation auditory stimuli at 38 and 39 Hz were used as well. The carrier signal was 1000 Hz. Then, these stimuli were combined into four different modes. Six volunteers participated on the experiments. Multisensory stimulation allows to obtain an increased performance of 15% on the detection of evoked potentials.
{"title":"Evaluation of audiovisual evoked potentials for multiple commands in BCI","authors":"Luciano Carmona, Pablo F. Diez, E. Laciar, V. Mut","doi":"10.1109/RPIC53795.2021.9648452","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648452","url":null,"abstract":"The amplitude of steady-state evoked potentials are modulated by the attention-level payed to the stimuli. In this manuscript, the effects of the multisensory stimulation (auditory and visual) are evaluated for generation of commands in a brain-computer interface experiment. Electroencephalographic signals were acquired from disposable electrodes on non-hair positions along with occipital electrodes. Three visual stimuli were presented at 37, 38 and 39 Hz and two amplitude modulation auditory stimuli at 38 and 39 Hz were used as well. The carrier signal was 1000 Hz. Then, these stimuli were combined into four different modes. Six volunteers participated on the experiments. Multisensory stimulation allows to obtain an increased performance of 15% on the detection of evoked potentials.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125429317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648458
Jorge Cogo, A. C. Rosell, J. Areta, J. P. Pascual
One of the main sources of electromagnetic interference that affects the operation of weather radars is due to Wi-Fi networks that operate in the same frequency band.There are various signal processing strategies to mitigate the interference effect. One of these strategies is to detect the signal using the deterministic preamble of the Wi-Fi packets.This work presents a radar receiver identification technique that allows generating a reference signal that better assimilates the preamble received in the processing stage and therefore helps to improve the method for detecting these interfering signals.
{"title":"Weather Radar Receiver Identification for Improving Wi-Fi Interference Detection","authors":"Jorge Cogo, A. C. Rosell, J. Areta, J. P. Pascual","doi":"10.1109/RPIC53795.2021.9648458","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648458","url":null,"abstract":"One of the main sources of electromagnetic interference that affects the operation of weather radars is due to Wi-Fi networks that operate in the same frequency band.There are various signal processing strategies to mitigate the interference effect. One of these strategies is to detect the signal using the deterministic preamble of the Wi-Fi packets.This work presents a radar receiver identification technique that allows generating a reference signal that better assimilates the preamble received in the processing stage and therefore helps to improve the method for detecting these interfering signals.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648429
L. E. Venghi, F. Aguilera, P. M. de la Barrera, C. D. de Angelo
This work presents the experimental validation of a detection and isolation strategy of current sensors and inverter switches faults in electric drives. This strategy is designed for an induction motor drive with two current sensors. The proposal is able to diagnose single and multiple current sensor faults, and single inverter switch faults. The proposed approach is validated using a variable speed drive with a 0.75 kW squirrel cage induction motor controlled by a field oriented strategy (FOC). Both, FOC and our proposal were implemented in the Texas Instruments DSP TMS320F28335.
{"title":"Experimental validation of a detection and isolation strategy of current sensors and inverter switches faults in electric drives","authors":"L. E. Venghi, F. Aguilera, P. M. de la Barrera, C. D. de Angelo","doi":"10.1109/RPIC53795.2021.9648429","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648429","url":null,"abstract":"This work presents the experimental validation of a detection and isolation strategy of current sensors and inverter switches faults in electric drives. This strategy is designed for an induction motor drive with two current sensors. The proposal is able to diagnose single and multiple current sensor faults, and single inverter switch faults. The proposed approach is validated using a variable speed drive with a 0.75 kW squirrel cage induction motor controlled by a field oriented strategy (FOC). Both, FOC and our proposal were implemented in the Texas Instruments DSP TMS320F28335.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121805638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648466
Germán Pérez Fogwill, Patricia A. Pelle, E. Asmi
Formation of new particles in the atmosphere is a phenomenon of great importance in the Earth’s climate system. To study this phenomenon, number concentration of particles of various sizes (even nanometric) must be measured over long periods of time. Traditionally the analysis of the data requires a manual visual inspection of the records following pre-established protocols. A critical step in the analysis of the measurements is to detect those moments where the new particle formation (NPF) events actually occurred. In addition, the number of formed new particles and their particle dynamics are typically investigated and quantified. Manual analysis of the measurements makes the obtained results strongly subjective, even if the established protocols are strictly followed. Therefore, obtained results, such as the frequency of occurrence of such events, or the average new particle formation rate, can be highly variable. To decrease these uncertainties, we have developed a new methodology to automatize the NPF analysis. In this work, we present a system based on Hidden Markov Models (HMM) to automatically detect in long data series the instants where a NPF event occurs. We show that the HMM can be used to detect NPF event in an objective and effective way, with low complexity either to create the automatic classification system or to use it.
{"title":"Identification of New Particle Formation Events With Hidden Markov Models","authors":"Germán Pérez Fogwill, Patricia A. Pelle, E. Asmi","doi":"10.1109/RPIC53795.2021.9648466","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648466","url":null,"abstract":"Formation of new particles in the atmosphere is a phenomenon of great importance in the Earth’s climate system. To study this phenomenon, number concentration of particles of various sizes (even nanometric) must be measured over long periods of time. Traditionally the analysis of the data requires a manual visual inspection of the records following pre-established protocols. A critical step in the analysis of the measurements is to detect those moments where the new particle formation (NPF) events actually occurred. In addition, the number of formed new particles and their particle dynamics are typically investigated and quantified. Manual analysis of the measurements makes the obtained results strongly subjective, even if the established protocols are strictly followed. Therefore, obtained results, such as the frequency of occurrence of such events, or the average new particle formation rate, can be highly variable. To decrease these uncertainties, we have developed a new methodology to automatize the NPF analysis. In this work, we present a system based on Hidden Markov Models (HMM) to automatically detect in long data series the instants where a NPF event occurs. We show that the HMM can be used to detect NPF event in an objective and effective way, with low complexity either to create the automatic classification system or to use it.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123815860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648483
C. Catuogno, G. Catuogno, D. De Yong, F. Magnago, G. Garcia, J. Bosso
This work presents the proposal for a method of prediction of thermal currents by means of neural networks, to facilitate decision-making in the flight of autonomous drones that use this form of energy to fulfill their missions. It is based on the experimental measurement during the flight of environmental parameters, geographical location, time and speed.
{"title":"Prediction of thermal currents for autonomous drone flight with Artificial Intelligence","authors":"C. Catuogno, G. Catuogno, D. De Yong, F. Magnago, G. Garcia, J. Bosso","doi":"10.1109/RPIC53795.2021.9648483","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648483","url":null,"abstract":"This work presents the proposal for a method of prediction of thermal currents by means of neural networks, to facilitate decision-making in the flight of autonomous drones that use this form of energy to fulfill their missions. It is based on the experimental measurement during the flight of environmental parameters, geographical location, time and speed.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"47 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115874705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648462
Ing. Leonardo Depetris, Ing. Damian Romani, Ing. Joaquín Gonzalez, Claudio Bottero, Maciel Rui, Valentino Buratto, Juan Lorenzati, Diego Vaira, E. Rui
This project focuses on the development of a set of devices that allow remote monitoring and remote control of the cistern and drinking water pumping station, in the city of Morteros (Córdoba), to streamline the operation and decision-making before emergenciesSpecifically, it is proposed to create an IoT network with ESP32 and Arduino DUE microcontrollers for taking a remote reading of the tank level and flow of entry to it, adapting digital communications with the plant's own equipment; this also includes bi-directional communication with the PID controller that drives the booster pumps. Finally, the inclusion of new equipment and sensors that can determine the magnitudes of water inlet pressure, cistern outlet flow, dosage and amount of available chlorine and determine possible flooding due to water leaks in the pits is projected that are below ground level. After the implementations and after several months of its start-up, the project was concluded favorably since it was possible to have the monitoring and control of the plant; allowing a better administration of this and a reduction in failures.
{"title":"Control by IoT in Drinking Water Pumping Station and Cisterns","authors":"Ing. Leonardo Depetris, Ing. Damian Romani, Ing. Joaquín Gonzalez, Claudio Bottero, Maciel Rui, Valentino Buratto, Juan Lorenzati, Diego Vaira, E. Rui","doi":"10.1109/RPIC53795.2021.9648462","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648462","url":null,"abstract":"This project focuses on the development of a set of devices that allow remote monitoring and remote control of the cistern and drinking water pumping station, in the city of Morteros (Córdoba), to streamline the operation and decision-making before emergenciesSpecifically, it is proposed to create an IoT network with ESP32 and Arduino DUE microcontrollers for taking a remote reading of the tank level and flow of entry to it, adapting digital communications with the plant's own equipment; this also includes bi-directional communication with the PID controller that drives the booster pumps. Finally, the inclusion of new equipment and sensors that can determine the magnitudes of water inlet pressure, cistern outlet flow, dosage and amount of available chlorine and determine possible flooding due to water leaks in the pits is projected that are below ground level. After the implementations and after several months of its start-up, the project was concluded favorably since it was possible to have the monitoring and control of the plant; allowing a better administration of this and a reduction in failures.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122790005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648434
Juan M. Casañas, P. Cometto, Mauro González Vera
This work aims to assess inter-seasonal changes of a supervised classification in San Juan city and surroundings, Argentina, focusing on urban land use. A land cover supervised classification was performed from Landsat 8 (OLI) and Sentinel-1 SAR images and a spectral indices set. This classification showed a right class differentiation (Short/medium vegetation, Medium/tall vegetation, Bare soil, Erodible sediment, Rocky Material, Urban and Peri-urban), however, variations of the Urban class area between winter and summer seasons were observed. Alternatively, a classification based on VIIRS (NOAA-20) night lights images was performed. Although this second classification shows significant inter-seasonal differences, these can be explained by the vegetation medium/tall (trees) contrast between both seasons. A combination of day and night images classification was carried out, which represents an improvement over previous work on the seasonal stability of the Urban and Peri-urban classes. The obtained map is suitable to be used in future studies on the region.
{"title":"Combination of two land cover classifications in San Juan city and surroundings, Argentina. Inter-seasonal variations assessment","authors":"Juan M. Casañas, P. Cometto, Mauro González Vera","doi":"10.1109/RPIC53795.2021.9648434","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648434","url":null,"abstract":"This work aims to assess inter-seasonal changes of a supervised classification in San Juan city and surroundings, Argentina, focusing on urban land use. A land cover supervised classification was performed from Landsat 8 (OLI) and Sentinel-1 SAR images and a spectral indices set. This classification showed a right class differentiation (Short/medium vegetation, Medium/tall vegetation, Bare soil, Erodible sediment, Rocky Material, Urban and Peri-urban), however, variations of the Urban class area between winter and summer seasons were observed. Alternatively, a classification based on VIIRS (NOAA-20) night lights images was performed. Although this second classification shows significant inter-seasonal differences, these can be explained by the vegetation medium/tall (trees) contrast between both seasons. A combination of day and night images classification was carried out, which represents an improvement over previous work on the seasonal stability of the Urban and Peri-urban classes. The obtained map is suitable to be used in future studies on the region.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648443
Almendra Brasca Merlin, C. Martínez, P. Kandus
Geomatics milestones throughout the time guide teaching practices in the present. Understanding the teaching approach in the classroom, and its role in our preparation; it is necessary to reconstruct how ideas about the discipline and its teaching were developed. To this end, we analyzed information from 33 interviews with founders, current teachers and new generations of geomatics professors in Argentina about the historical events that occurred during their careers and professional experience. We used qualitative and quantitatives methods to reconstruct the period from the founding of the National AeroSpace Commission (CONAE) until today (1991-2021).
{"title":"Retrospective views of geomatics teaching in Argentina","authors":"Almendra Brasca Merlin, C. Martínez, P. Kandus","doi":"10.1109/RPIC53795.2021.9648443","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648443","url":null,"abstract":"Geomatics milestones throughout the time guide teaching practices in the present. Understanding the teaching approach in the classroom, and its role in our preparation; it is necessary to reconstruct how ideas about the discipline and its teaching were developed. To this end, we analyzed information from 33 interviews with founders, current teachers and new generations of geomatics professors in Argentina about the historical events that occurred during their careers and professional experience. We used qualitative and quantitatives methods to reconstruct the period from the founding of the National AeroSpace Commission (CONAE) until today (1991-2021).","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121208513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-03DOI: 10.1109/RPIC53795.2021.9648525
Lucas O. Griva, M. Basualdo
This work presents a new methodology to design the Predictive Functional Control (PFC) algorithm to be implemented in the context of the Artificial Pancreas (AP) for patients with Type 1 Diabetes Mellitus (T1DM). The proposal here is that the parameters of the internal model of PFC be continuously adapted to follow the real patient evolution through an on line identification technique. We call the new PFC as "adaptive PFC" where the internal model parameters are estimated by the recursive estimation based on UD factorization. Additionally, to test the adaptive PFC we use a global data driven model, previously developed, to perform the final tuning (commissioning) to be practically ready to be used in AP implementations. The closed loop responses are tested with the in silico patient obtained through dynamic simulations of the global model (GM) when different meals intake and insulin dosages are given to the patient Nº 5041 from the Center of Diabetes Technology (UVa/USA). The GM is a combination between long and short term models and uses a particular approach based on Kalman Filter to improve the short term predictions. It helps to tracking glycaemia every five minutes to mimic a realistic in silico patient. The comparisons will be done with the regular PFC and the patient without control. The regular PFC has the internal model with constant parameters obtained from the ARX model to isolate the insulin impact from the carbohydrates effects on the blood glucose variations. Finally, the full closed loop simulations, taking into account the constraints related to the insulin pump, are included. The performance of the controllers and the free style of the patient are evaluated by means of the Control Variability Grid Analysis (CVGA). Closing the work, we present the final conclusions based on the comparison results and discuss some future works.
{"title":"Design and testing adaptive predictive control based on global models of endocrine system for diabetic patients","authors":"Lucas O. Griva, M. Basualdo","doi":"10.1109/RPIC53795.2021.9648525","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648525","url":null,"abstract":"This work presents a new methodology to design the Predictive Functional Control (PFC) algorithm to be implemented in the context of the Artificial Pancreas (AP) for patients with Type 1 Diabetes Mellitus (T1DM). The proposal here is that the parameters of the internal model of PFC be continuously adapted to follow the real patient evolution through an on line identification technique. We call the new PFC as \"adaptive PFC\" where the internal model parameters are estimated by the recursive estimation based on UD factorization. Additionally, to test the adaptive PFC we use a global data driven model, previously developed, to perform the final tuning (commissioning) to be practically ready to be used in AP implementations. The closed loop responses are tested with the in silico patient obtained through dynamic simulations of the global model (GM) when different meals intake and insulin dosages are given to the patient Nº 5041 from the Center of Diabetes Technology (UVa/USA). The GM is a combination between long and short term models and uses a particular approach based on Kalman Filter to improve the short term predictions. It helps to tracking glycaemia every five minutes to mimic a realistic in silico patient. The comparisons will be done with the regular PFC and the patient without control. The regular PFC has the internal model with constant parameters obtained from the ARX model to isolate the insulin impact from the carbohydrates effects on the blood glucose variations. Finally, the full closed loop simulations, taking into account the constraints related to the insulin pump, are included. The performance of the controllers and the free style of the patient are evaluated by means of the Control Variability Grid Analysis (CVGA). Closing the work, we present the final conclusions based on the comparison results and discuss some future works.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"16 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：