Peter Szalay

Peter Szalay
Budapest University of Technology and Economics · Department of Control Engineering and Information Technology

About

33
Publications
1,825
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211
Citations
Citations since 2016
2 Research Items
129 Citations
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201620172018201920202021202205101520
201620172018201920202021202205101520

Publications

Publications (33)
Chapter
Modeling and control are tightly connected if we want to guarantee safety and reliability. These are minimum requirements in the medical field. The more sophisticated methods usually require information beyond the available measurements, and one way or another incorporate all a priori knowledge. This can manifest in state estimation, model-based pr...
Conference Paper
Full-text available
The paper gives a summary of 2014 year results in the topic of physiological modeling and control achieved by the Physiological Controls Group of the Obuda University. The presentation is integrated in the tradition established years ago at IEEE INES conferences and 2014's IEEE SACI conference summarizing the latest results obtained by the group. F...
Conference Paper
Diabetes mellitus is a serious chronic condition of the human metabolism. The development of an automated treatment has reached clinical phase in the last few years. The goal is to keep the blood glucose concentration within a certain region with minimal interaction required by the patient or medical personnel. However, there are still several prac...
Conference Paper
In physiological control there is a need to estimate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma- Point filters could represent an adequate choice to overcome this problem. The paper investigates the applicability...
Conference Paper
This paper investigates the capabilities of a sophisticate d robust nonlinear controller designed directly for a widely known and used high-order non linear type 1 diabetes (T1DM) model to lessen the dependency from patient compliance and t o answer practical requirements such as avoiding hypoglycaemia. The resulting controller c an perform adequat...
Article
Full-text available
Purpose: Neurodegeneration as an early event of diabetic retinopathy preceding clinically detectable vascular alterations is a widely proven issue today. While there is evidence for the impairment of color vision and contrast sensitivity in early diabetes, suggesting deteriorated photoreceptor function, the underlying neuropathology of these funct...
Conference Paper
Full-text available
Following the tradition established at previous IEEE INES conferences, this paper presents the results achieved by the Physiological Controls Group of Óbuda University in the field of physiological control last year (2013). The application target was focused on diabetes (artificial pancreas), tumor (antiangiogenic therapy), and hemodialysis (contro...
Article
The paper investigates the specificity of Linear Parameter Varying (LPV) modeling and robust controller design on a widely used Type 1 Diabetes Mellitus model. LPV systems can be seen as an extension of linear time invariant systems, which allows us to extend some powerful control methodologies to the highly nonlinear and uncertain models of the hu...
Conference Paper
Full-text available
The current paper represents a continuation of the conference papers presented at the INES 2011 and 2012 conferences. A brief summary of the newest results in the field of physiological modeling and control are presented focusing on high public health impact diseases: diabetes, tumor and obesity. In the case of diabetes control, preliminary model-f...
Article
Full-text available
Generating optimal control algorithms for an artificial pancreas is an intensively researched problem. The available models are all nonlinear and rather complex. Model predictive control or run-to-run-based methodologies have proven to be efficient solutions for individualized treatment of type 1 diabetes mellitus (T1DM). However, the controller ha...
Article
Introduction: Individualized control therapies give better and better results in the artificial pancreas researches. However, due to neglected dynamics the robustness of the methodologies is still a challenge. The Hungarian Artificial Pancreas Working Group (MAP) investigates this problem from several years. On previous ATTD conferences a robust co...
Conference Paper
Full-text available
The current paper represents a continuation of the conference paper presented at the INES 2011 conference. It summarizes the updated results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and...
Chapter
The control of physiological systems is usually a highly demanding task. The requirements are strict and there is a little margin of error, since failure can directly endanger the patient's life. Moreover, the performance of the available sensors and actuators are limited in most cases, leaving even higher burden on the control algorithm. Finally,...
Chapter
The control of physiological systems is a highly demanding task. The requirements are strict and there is a little margin of error, since failure can directly endanger the patient's life. In the same time the performance of the available sensors and actuators are limited in most cases, leaving even higher burden on the control algorithm. Finally th...
Article
Full-text available
Glucose is the primary source of energy for the human body. Keeping the blood glucose level between certain thresholds is essential for the proper energy transport. Insulin plays a key role in maintaining the glucose homeostasis. Because of its great importance, many models were published on either to describe the glucose-insulin interaction in cas...
Conference Paper
Full-text available
This paper summarizes the results of research tasks in the field of physiological modeling and control of diseases with high public health impact carried out by the Biomedical Engineering Laboratory of the Budapest University of Technology and Economics. The developed and presented optimal algorithms and strategies focus on three diseases with high...
Article
Full-text available
Glucose-insulin models appeared in the literature are varying in complexity. Hence, their use in control theory is not trivial. The paper presents an optimal controller design framework to investigate the type 1 diabetes from control theory point of view. Starting from a recently published glucose-insulin model a Quasi Model with favorable control...
Article
The quest for artificial pancreas can be structured in three tasks: glucose sensor, insulin pump and control algorithm. The latter is a key point of the diabetes “closing the loop” problem and its primary prerequisite is a valid model able to describe the blood glucose system. Among the many models appeared in the literature, the model of Magni et...
Chapter
The paper presents an optimal controller design framework to investigate the type 1 diabetes from control theory point of view. The starting point of the problem is based on a recently published glucose-insulin model (Liu and Tang (2008)). Based on this a Quasi Model (a type 1 diabetes linear model) with favorable control properties is developed mi...
Chapter
Full-text available
Generating optimal control algorithms for artificial pancreases is an intensively researched problem. In this paper the feedback control of type 1 diabetic patients using subcutaneous insulin delivery and subcutaneous glucose monitoring is considered on the high-complexity modified nonlinear diabetic patient Sorensen-model. An acceptable compromise...
Chapter
Full-text available
Optimal control of an Intensive Care Unit (ICU) metabolic model from nonlinear control point of view is presented in the current paper. The transformation of a clinically validated nonlinear model into a series of integrators via exact linearization and asymptotic output tracking is performed. Both methods need the value of the state variables; the...
Chapter
Automatic control of type 1 diabetic patients (known as artificial pancreas) is an intensively researched problem. The current paper presents a modern robust control possibility (using subcutaneous insulin delivery and subcutaneous glucose monitoring route) developed on a high-complexity nonlinear diabetic patient model, and using Linear Parameter...
Chapter
Full-text available
ntensive care is one of the most challenging areas of modern medicine. Maintenance of glucose levels in intensive care unit (ICU) patients via control of insulin inputs is currently an active research field. The current paper presents the analysis of postmodern and nonlinear control methods for tight glycaemic control (TGC) under intensive care. Us...
Article
Full-text available
Intensive care is one of the most challenging areas of modern medicine. Maintenance of glucose levels in intensive care unit (ICU) patients via control of insulin inputs is an active research field. Accurate metabolic system models are a critical element of automatic control. Different ICU models appeared in the literature some of them already vali...
Conference Paper
The human blood glucose system is one of the most important systems of the human body, as energy transport is fulfilled through this complex endocrine control process. Because of its great importance, many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently which...
Article
Full-text available
Maintenance of glucose levels in intensive care unit (ICU) patients via control of insulin inputs is currently an active research field. Different published models that address this problem are analysed from control theory point of view. This paper analyzes the three most used ICU metabolic system models in the literature, two of which have been va...
Conference Paper
Robust servo control of type 1 diabetes is presented from a control theoretic perspective in this paper. Using a recently published glucose-insulin model, first the transformation of the model to the type 1 diabetes case is performed. Then, by parametric nonlinear model sensitivity analysis using a gridding method, the uncertainty around the nomina...

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