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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Al Ahdab, Mohamad Knudsen, Torben Stoustrup, Jakob Leth, John Aalborg University Section of Automation and Control Department of Electronic Systems Aalborg Ost Denmark

ISBN: (纸本)9798350335446

In this paper, we present two simple and novel methods for automatic personalization of target blood glucose concentration values for individuals with Type 2 Diabetes (T2D). The methods can be integrated with any insulin dosing algorithm, or used to provide an individualized reference BG concentration value for medical professionals to consider when determining long-acting insulin doses and other oral medications. The proposed methods were tested in three different simulation models, with different long-acting insulin dosing strategies, and were found to reduce instances of hypoglycemia. © 2023 IEEE.

关键词： Insulin

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Model predictive control of heating in a low energy single-family house

Model predictive control of heating in a low energy single-f...

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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Nielsen, C.M. Larsen, K.H.K. Thorsteinsson, S. Bendtsen, J.D. Section for Communication Media and Information Technologies Aalborg University Copenhagen Denmark Section for Automation and Control Aalborg University Aalborg Denmark

This paper presents a control scheme that uses a Model Predictive control (MPC) approach to manage the heating system of a low-energy single-family house. The house is equipped with an air-to-water Heat Pump (HP) and individually controlled hydronic underfloor heating circuits for each of its 11 heating zones. The MPC scheme is designed to maintain individual room comfort levels in each zone, while incorporating weather forecasts and following a heating reference to allow for load shifting for periods with low energy prices and high Photovoltaic (PV) production calculated by an upper level in a hierarchical control scheme. The focus of the design has been the model structure that allows for fast solutions to the MPC optimisation problem, while still capturing the high complexity, non-linear dynamics of the building. The controller is tested on a high-fidelity simulation model of the house, achieving disturbance rejection and system stabilisation. The rapid solving time makes repeated experiments and longer simulations feasible. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Model predictive control

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Feedback-Based Quantum Algorithm for Constrained Optimization Problems 15th

Feedback-Based Quantum Algorithm for Constrained Optimizati...

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15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024

作者： Abdul Rahman, Salahuddin Karabacak, Özkan Wisniewski, Rafal Automation and Control Section Department of Electronic Systems Aalborg University Aalborg Denmark Department of Mechatronics Engineering Kadir Has University Istanbul Turkey

ISBN: (纸本)9783031856990

The feedback-based algorithm for quantum optimization (FALQON) has recently been proposed to find ground states of Hamiltonians and solve quadratic unconstrained binary optimization problems. This paper efficiently generalizes FALQON to tackle quadratic constrained binary optimization (QCBO) problems. For this purpose, we introduce a new operator that encodes the problem’s solution as its ground state. Using control theory, we design a quantum control system such that the state converges to the ground state of this operator. When applied to the QCBO problem, we show that our proposed algorithm saves computational resources by reducing the depth of the quantum circuit and can perform better than FALQON. The effectiveness of our proposed algorithm is further illustrated through numerical simulations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Constrained optimization

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Safe Reinforcement Learning for Constrained Markov Decision Processes with Stochastic Stopping Time 63

Safe Reinforcement Learning for Constrained Markov Decision ...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Mazumdar, Abhijit Wisniewski, Rafal Bujorianu, Manuela L. Aalborg University Section of Automation & Control Aalborg East9220 Denmark University College London Department of Computer Science United Kingdom

ISBN: (纸本)9798350316339

In this paper, we present an online reinforcement learning algorithm for constrained Markov decision processes with a safety constraint. Despite the necessary attention of the scientific community, considering stochastic stopping time, the problem of learning optimal policy without violating safety constraints during the learning phase is yet to be addressed. To this end, we propose an algorithm based on linear programming that does not require a process model. We show that the learned policy is safe with high confidence. We also propose a method to compute a safe baseline policy, which is central in developing algorithms that do not violate the safety constraints. Finally, we provide simulation results to show the efficacy of the proposed algorithm. Further, we demonstrate that efficient exploration can be achieved by defining a subset of the state-space called proxy set. © 2024 IEEE.

关键词： Contrastive Learning

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Making an air-source heat pump smart-grid ready

Making an air-source heat pump smart-grid ready

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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Thorsteinsson, S. Cai, H. Bendtsen, J.D. Heer, P. Vivian, J. Section for Automation and Control Aalborg University Denmark Urban Energy Systems Swiss Federal Laboratories for Material Science and Technology Switzerland

In this paper we discuss the differences between the industrial and academic definition of smart-grid readiness of heat pumps and investigate possibilities to bridge this gap such that existing heat pumps, to a higher degree, can participate in a smart-grid or flexibility setting. A weather compensated heat pump has been equipped to enable heating reference tracking by overriding the outdoor air temperature measurement. The reference tracking has been performed using a model predictive controller and a PI-controller. The results show that it is possible to track a heating reference but also that operating the heat pump according to smart-grid objectives has consequences, such as reduced COP and increased defrosting rate. The model predictive and PI-controller showed little difference in performance, meaning that even simple rule-based controllers can be used for tracking. Lastly, the paper provides suggestions for signals that should be available if heat pumps in the future should operate closer to the researchers' expectations of smart-grid readiness. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Smart power grids

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Stochastic Differential Equations with State Dependent Diffusion - 2 Order Statistics and State Estimation

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IFAC-PapersOnLine 2023年第2期56卷 5943-5950页

作者： Torben Knudsen Aalborg University Department of Electronic Systems Section of Automation and Control Denmark

Estimation of states in stochastic differential equations with state dependent diffusion is known to be difficult. Previous research recommend the higher order extended Kalman filter or the Lamperti transform method for this case. This paper shows that a new developed method, based on the unscented Kalman filter, is superior for two simulated stochastic differential equation systems.

关键词： Estimation and filtering Stochastic system identification Continuous time system estimation Nonlinear system identification Stochastic differential equations Unscented Kalman filter Lamperti transform Higher order Kalman filter

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Distributionally Robust Safety Verification for Markov Decision Processes

arXiv

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arXiv 2024年

作者： Mazumdar, Abhijit Hou, Yuting Wisniewski, Rafal The Section of Automation & Control Aalborg University Aalborg East9220 Denmark

In this paper, we propose a distributionally robust safety verification method for Markov decision processes where only an ambiguous transition kernel is available instead of the precise transition kernel. We define the ambiguity set around the nominal distribution by considering a Wasserstein distance. To this end, we introduce a robust safety function to characterize probabilistic safety in the face of uncertain transition probability. First, we obtain an upper bound on the robust safety function in terms of a distributionally robust Q-function. Then, we present a convex program-based distributionally robust Q-iteration algorithm to compute the robust Q-function. By considering a numerical example, we demonstrate our theoretical results. © 2024, CC BY-NC-ND.

关键词： Markov processes

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Prediction of Laser Drilling Qualities for Optical Grade PMMA Using Artificial Neural Network

Prediction of Laser Drilling Qualities for Optical Grade PMM...

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2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023

作者： Tsai, Ming-Jong Wu, Lung-Fa Li, Chen-Hao Graduate Institute of Automation and Control National Taiwan University of Science and Technology Address: No. 43 Keelung Road Section 4 Taipei106335 Taiwan

ISBN: (纸本)9798350303780

This study proposes an effective method for predicting laser drilling qualities of Optical Grade PMMA using an artificial neural network (ANN). First, a pulsed laser system using a Quantel Brilliant Neodymium-Doped Yttrium Aluminum Darnet (Nd: YAG) laser with a pulse width of 5-6 ns and an F-theta lens is used to obtain a focused laser beam with a diameter of 0.2 mm. The laser system was employed to drill holes in a 3-mm-thick optical-grade acrylic polymethyl methacrylate (PMMA) plate with high optical density and grade of OD 7+ @9501085nm. Four major control factors for the laser system include laser pulse energy, focusing position offset, repetition rate, and drill time. Four drilled qualities include Drill roundness, Hillock, Taper, and HAZ. A total of 27 sets of experiments were performed using Taguchi's orthogonal arrays. After using 27 training data sets including input data and its output qualities, the average error using a back-propagation (BP) neural network was -3.82 % in the training process. The results show that the ANN model has the predictive ability to estimate laser drilling qualities for an Optical Grade PMMA. © 2023 IEEE.

关键词： Neural networks

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Nonlinear MPC for Insulin Titratio2shn of Type 2 Diabetes

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IFAC-PapersOnLine 2024年第18期58卷 35-40页

作者： Joachim Melkær Midtgaard Kasper Bruhn Michael Siggaard Jørgensen Tristan Grusgaard Johnasen Kasper Kjærulff Grønkjær Faiyaz Alvi Ahmed Mohamad Al Ahdab John Leth *Section of Control and Automation Department of Electronic Systems Aalborg University Fredrik Bajers Vej 7C 9220 Aalborg East Denmark

This paper explores the development and application of both linear and nonlinear model predictive control (MPC) strategies for insulin titration in type 2 diabetes (T2D) subjects. By utilizing daily blood glucose measurements, alongside information on insulin injections and meal intake from the previous day, we adjust the insulin sensitivity parameter of the internal model of the controller. This adjustment is based on the steady-state glucose error between the internal model and the plant model. The performance of these strategies was assessed using a high-fidelity T2D model, demonstrating their potential in enhancing the management of T2D.

关键词： Nonlinear MPC Biological systems Diabetes Human-in-the-loop control

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LargeDeviations in Safety-CriticalHamiltonian Systems withProbabilistic InitialConditions

arXiv

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arXiv 2024年

作者： Gomez, Aitor R. Bujorianu, Manuela L. Wisniewski, Rafal Section of Automation & Control Aalborg University Denmark Department of Computer Science University College London United Kingdom

We address the problem of determining the least improbable deviations leading to an unsafe rare event in a weakly perturbed mechanical system with probabilistic initial conditions. These deviations are obtained as the solution to a variational problem formulated using rigorous approximation techniques grounded in the principles of large deviations theory. These types of results have been extended to accommodate stochastic uncertainty in the initial states, which is a common assumption in mechanical systems. Furthermore, we demonstrate the applicability of the method by solving the problem for a rare collision event between two space objects-a high-dimensional and non-linear problem-resulting in the most likely sample paths leading to the realization of the unsafe rare event. The solution is validated against the necessary conditions for optimality derived from the maximum principle. Access to these unsafe sample paths offers relevant information regarding the dangerous configurations of rare events and can be used to design control strategies to reduce the probability of realization. © 2024, CC BY-NC-SA.

关键词： Stochastic systems

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