scholarly journals Quasi-Model-Based Control of Type 1 Diabetes Mellitus

2011 ◽  
Vol 2011 ◽  
pp. 1-12
Author(s):  
András György ◽  
Levente Kovács ◽  
Péter Szalay ◽  
Dániel A. Drexler ◽  
Balázs Benyó ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Control Theory ◽  
Controller Design ◽  
Control Strategies ◽  
Point Of View ◽  
Pole Placement ◽  
Optimal Controller ◽  
Minimax Control ◽  
Theory Point

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 properties is developed minimizing the physiological states to be taken into account. The purpose of the Quasi Model is not to model the glucose-glucagon-insulin interaction precisely, but only to grasp the characteristic behavior such that the designed controller can successfully regulate the unbalanced system. Different optimal control strategies (pole-placement, LQ, Minimax control) are designed on the Quasi Model, and the obtained controllers' applicability is investigated on two more sophisticated type 1 diabetic models using two absorption scenarios. The developed framework could help researchers engaging the control problem of diabetes.

Assessment of Model Predictive and Adaptive Glucose Control Strategies for People with Type 1 Diabetes

2014 ◽  
Vol 47 (3) ◽  
pp. 231-236 ◽  
Author(s):  
Dimitri Boiroux ◽  
Anne Katrine Duun-Henriksen ◽  
Signe Schmidt ◽  
Kirsten Nørgaard ◽  
Niels Kjølstad Poulsen ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Control Strategies

Motion Tracking Control Design for Wheeled Mobile Systems

2008 ◽  
Author(s):  
Elz˙bieta Jarze˛bowska
Keyword(s):  
Tracking Control ◽  
Motion Tracking ◽  
Controller Design ◽  
Control Strategies ◽  
Equations Of Motion ◽  
Nonholonomic Systems ◽  
Point Of View ◽  
Mobile Systems ◽  
Task Constraints ◽  
Nonlinear Control Theory

The paper presents a model-based tracking control strategy design for wheeled mobile systems (WMS). The strategy enables tracking a variety of WMS motions that come from task specifications and control or design requirements put on them. From the point of view of mechanics and derivation of equations of motion, the WMS belongs to one class of first order nonholonomic systems. From the perspective of nonlinear control theory, the WMS differ and may not be approached by the same control strategies and algorithms, e.g. some of them may be controlled at the kinematic level and the other at the dynamic level only. The strategy we propose is based on a modeling control oriented framework. It serves a unification of the WMS modeling and a subsequent controller design with no regard whether a specific WMS is fully actuated, underactuated, or constrained by the task constraints.

scholarly journals Nocturnal Hypertension and Special - Period Hypertension in Type 1 Diabetes Mellitus

2012 ◽  
Vol 19 (1) ◽  
pp. 49-58
Author(s):  
Claudiu Cobuz ◽  
Maricela Cobuz
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Metabolic Diseases ◽  
Point Of View ◽  
Special Period ◽  
Nocturnal Hypertension ◽  
Arterial Tension ◽  
And Behavior

Nocturnal Hypertension and Special - Period Hypertension in Type 1 Diabetes MellitusBackground: One of the unique aspects of continuous ambulatory arterial-tension monitoring is the ability of recording the diurnal variations. The patients suffering from Type 1 Diabetes Mellitus (T1DM) may present higher nocturnal values of arterial tension and this rise can be determined by hyperinsulinism. The first hours in the morning (6 a.m. - 9 a.m.), the so-called special period, is correlated with a rise in the incidence of cardiovascular events and a rise in plasmatic catecholamine and of platelet aggregability. The main goal of this study is to analyze the particularities of the tensional profile with regard to nocturnal behavior and behavior in the special period, reported to glycemic variations. Material and method: The study analysed 351 patients known with T1DM, who have been suffering from this disease for more than 10 years, who were in the records of the Center of Diabetes, Nutrition and Metabolic Diseases of Iaşi and Suceava. The patients were assesssed from a tensional and glycemic point of view, by continuous blood-tension (ABPM) and glycemia (CGMS) monitoring. Results: The occurrence of nocturnal hypertension in patients suffering T1DM is by 29.24 higher than in the case of hypertensive persons compared to the risk presented by the persons without blood hypertension. The continuous recording of blood hypertension during the asymptomatic hypoglycemia period showed increased values both for systolic blood tension and for diastolic one (p<0.05). The hypertension risk is by 3.24 higher during the hypoglycemia period compared to the normoglycemic one. Tension variations during the special period were noticed in 87 patients who have been suffering from diabetes mellitus for 19.75 ± 4.57 years. These tension values are higher than the nocturnal ones, but lower than the diurnal ones. Conclusions: Hypoglycemia duration and magnitude induces increased tension values which adds another hemodynamic stress factor to the patient suffering from T1DM. In T1DM, in the first morning hours, in particular conditions, we can notice increased tension values, higher in patients with blood hypertension, which induces a stressed cardiovascular risk. Tension value increase during the special period overlaps the morning hyperglycemias. Therefore, there appears an apparently invisible impact on the cardiovascular condition of diabetes mellitus.

Feedback Control of an Inverted Pendulum by Use of Artificial Intelligence

2007 ◽  
Vol 11 (9) ◽  
pp. 1114-1121 ◽  
Author(s):  
Webjørn Rekdalsbakken ◽  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Control ◽  
Physical Model ◽  
Inverted Pendulum ◽  
Control Strategies ◽  
State Space Model ◽  
Environmental Parameters ◽  
Optimal Level ◽  
Point Of View ◽  
Pole Placement

An inverted pendulum represents an unstable system which is excellent for demonstrating the use of feedback control with different kinds of control strategies. In this work feedback control of the inverted pendulum is examined from the point of view of a state space model of the system. First a pole placement algorithm is thoroughly explored. After this artificial intelligence (AI) methods are investigated to better cope with the nonlinearities of the physical model. The technique used is based on a hybrid system combining a Neural Network (NN) with a Genetic Algorithm (GA). The NN controller is trained by the GA against the behaviour of the physical model. The results of the training process show that the chromosome population tends to stabilize at a suboptimal level, and that changes in the environmental parameters have to take place to reach a new optimal level. The results, however, show that the NN controller gradually adapts to the behaviour of the pendulum.

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