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Data-driven Modelling of Thermal Solid Sorption Storage Systems

Renewable energy and environmental sustainability, 2021, Vol.6, p.27

2021

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An iterative linear programming approach to optimize costs in distributed energy systems by considering nonlinear battery inverter efficiencies

Electric power systems research, 2023-05, Vol.218, p.109183, Article 109183

2023

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Prediction Methods for Blood Glucose Concentration: Design, Use and Evaluation

1, 2015

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Time Delay of CGM Sensors: Relevance, Causes, and Countermeasures

Journal of diabetes science and technology, 2015-08, Vol.9 (5), p.1006-1015

2015

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LMI-Based Approaches for the Calibration of Continuous Glucose Measurement Sensors

IEEE journal of biomedical and health informatics, 2015-09, Vol.19 (5), p.1697-1706

2015

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Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes

International journal of control, 2014-07, Vol.87 (7), p.1454-1466

2014

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Performance Comparison of CGM Systems: MARD Values Are Not Always a Reliable Indicator of CGM System Accuracy

Journal of diabetes science and technology, 2015-09, Vol.9 (5), p.1030-1040

2015

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Performance Evaluations of Continuous Glucose Monitoring Systems: Precision Absolute Relative Deviation is Part of the Assessment

Journal of diabetes science and technology, 2013-07, Vol.7 (4), p.824-832

2013

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Continuous-Tme Interval Model Identification of Blood Glucose Dynamics for Type 1 Diabetes

International journal of control, 2014, Vol.87 (7), p.1454

2014

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Cost-optimal Control of Photovoltaic Systems with Battery Storage under Variable Electricity Tariffs

Elektrotechnik und Informationstechnik, 2016-12, Vol.133 (8), p.371-380

2016

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Robust tube-based predictive control of blood glucose concentration in type 1 diabetes

52nd IEEE Conference on Decision and Control, 2013, p.2084-2089

2013

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First Principles and Data-Driven Modeling of a Plate Heat Exchanger

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020, Vol.1, p.31-36

2020

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Optimal Energy Management of Residential Solar PV with Battery Storage: Effects of Fast Load and Generation Transients

2020 7th International Conference on Control, Decision and Information Technologies (CoDIT), 2020, Vol.1, p.946-951

2020

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Building a self-driving and self-following robot (towards project based learning in a part time study program)

2019 20th International Conference on Research and Education in Mechatronics (REM), 2019, p.1-6

2019

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A model based bolus calculator for blood glucose control in type 1 diabetes

2014 American Control Conference, 2014, p.5465-5470

2014

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Cooperative adaptive cruise control applying stochastic linear model predictive control strategies

2015 European Control Conference (ECC), 2015, p.3383-3388

2015

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State observation with guaranteed confidence regions through sign perturbed sums

2015 54th IEEE Conference on Decision and Control (CDC), 2015, p.5660-5665

2015

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A novel online recalibration strategy for continuous glucose measurement sensors employing LMI techniques

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.3921-3924

2013

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Short-term prediction of blood glucose concentration using interval probabilistic models

22nd Mediterranean Conference on Control and Automation, 2014, p.1494-1499

2014

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Identification of diurnal patterns in insulin action from measured CGM data for patients with T1DM

2015 European Control Conference (ECC), 2015, p.1-6

2015

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Model based control of human heart rate on a bicycle ergometer

2014 European Control Conference (ECC), 2014, p.1516-1521

2014

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Empirical Representation of Blood Glucose Variability in a Compartmental Model

Prediction Methods for Blood Glucose Concentration, 2015, p.133-157

2015

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Performance assessment of estimation methods for CIR/ISF in bolus calculators∗∗This work has been supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 program

IFAC-PapersOnLine, 2015, Vol.48 (20), p.231-236

2015

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LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

53rd IEEE Conference on Decision and Control, 2014, p.6981-6986

2014

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Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design

IFAC Proceedings Volumes, 2011-01, Vol.44 (1), p.11761-11766

2011

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Data-driven Modelling of Thermal Solid Sorption Storage Systems

An iterative linear programming approach to optimize costs in distributed energy systems by considering nonlinear battery inverter efficiencies

Prediction Methods for Blood Glucose Concentration: Design, Use and Evaluation

Time Delay of CGM Sensors: Relevance, Causes, and Countermeasures

LMI-Based Approaches for the Calibration of Continuous Glucose Measurement Sensors

Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes

Performance Comparison of CGM Systems: MARD Values Are Not Always a Reliable Indicator of CGM System Accuracy

Performance Evaluations of Continuous Glucose Monitoring Systems: Precision Absolute Relative Deviation is Part of the Assessment

Continuous-Tme Interval Model Identification of Blood Glucose Dynamics for Type 1 Diabetes

Cost-optimal Control of Photovoltaic Systems with Battery Storage under Variable Electricity Tariffs

Robust tube-based predictive control of blood glucose concentration in type 1 diabetes

First Principles and Data-Driven Modeling of a Plate Heat Exchanger

Optimal Energy Management of Residential Solar PV with Battery Storage: Effects of Fast Load and Generation Transients

Building a self-driving and self-following robot (towards project based learning in a part time study program)

A model based bolus calculator for blood glucose control in type 1 diabetes

Cooperative adaptive cruise control applying stochastic linear model predictive control strategies

State observation with guaranteed confidence regions through sign perturbed sums

A novel online recalibration strategy for continuous glucose measurement sensors employing LMI techniques

Short-term prediction of blood glucose concentration using interval probabilistic models

Identification of diurnal patterns in insulin action from measured CGM data for patients with T1DM

Model based control of human heart rate on a bicycle ergometer

Empirical Representation of Blood Glucose Variability in a Compartmental Model

Performance assessment of estimation methods for CIR/ISF in bolus calculators∗∗This work has been supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 program

LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design

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