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IEEE Conference on Decision and control

作者： Vikas Kumar Mishra Andrea Iannelli Naim Bajcinca Department of Mechanical and Process Engineering RPTU Kaiserslautern Kaiserslautern Germany University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart Germany

We consider the problems of system invertibility and input reconstruction for linear time-invariant (LTI) systems using only measured data. The two problems are connected in the sense that input reconstruction is possible provided that the system is left invertible. To verify the latter property without model knowledge, we leverage behavioral systems theory and develop two data-driven algorithms: one based on input/state/output data and the other based only on input/output data. We then consider the problem of input reconstruction for both noise-free and noisy data settings. In the case of noisy data, a statistical approach is leveraged to formulate the problem as a maximum likelihood estimation (MLE) problem. The proposed approaches are finally illustrated with numerical examples that show: exact input reconstruction in the noise-free setting; and the better performance of the MLE-based approach compared to the standard least-norm solution.

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Improving Robot Safety and Efficiency: Integrating Reachability-Based Trajectory Design with Nonlinear Model Predictive control

SSRN

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SSRN 2024年

作者： Shafikhah, Mahmood Razminia, Abolhassan Department of Electrical Engineering Faculty of Intelligent Systems Engineering and Data Science Persian Gulf University Bushehr Iran Process Control Laboratory Faculty of Natural Sciences and Engineering Åbo Akademi University Turku Finland

In today's high-tech world, robots are increasingly used in industry and human assistance, raising safety concerns. This paper proposes a Reachability-based Trajectory Design (RTD) method to ensure safe robot motion. By computing the robot's Forward Reachable Set (FRS), a safe trajectory is chosen for the robot to follow. This approach enhances robot safety and reliability, making them more applicable across industries. Offline RTD and FRS calculations combined with Nonlinear Model Predictive control (NMPC) further improve navigation, motion planning, and control precision. This unique combination significantly improves robot operations, ensuring safety and efficiency. © 2024, The Authors. All rights reserved.

关键词： Predictive control systems

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Automatic Glycemia Regulation: Avoiding Hypoglycemia and Hyperglycemia

Automatic Glycemia Regulation: Avoiding Hypoglycemia and Hyp...

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2021 International Conference on Communication and Information Technology, ICICT 2021

作者： Rakan, Amer B. Ridha, Taghreed M. Al-Saamray, Shibly A. University of Tikrit-Iraq College of Petroleum Process Engineering Tikrit Iraq University of Technology-Iraq Control and Systems Engineering Department Baghdad Iraq

ISBN: (纸本)9781665439145

Driving Blood Glucose Concentration (BGC) from hyperglycemia to euglycemia as quickly as possible while preventing hypoglycemia has been a big challenge for Type-1 Diabetes (T1D) for decades. This study has contributed to handle this problem. In this study, a control algorithm is established that ensures the full avoidance of both hypoglycemia and hyperglycemia. The solution consists of a positive control law that finds the necessary hyperglycemia correction bolus in real-time to safely drive glycemia to the normal range. The action of this controller depends mainly on the amount of the pre-estimated meal. Where the estimated meal forms part of the control law. The other part is a state feedback control. The positive controller steered BGC to ensure avoiding both hyper. and hypoglycemia. This control is examined in Magdalene T1D simulator patients during a fasting-night scenario as well as a postprandial scenario. The control algorithm was tested in silico on 5 different T1DM patients in postprandial of three unknown's meal scenarios. The in silico results show that glycemia remained on average for the five T1DM patients. The percentage of glycemia in a normal range about (100 %) percent over the simulation time. No hypoglycemia where registered and time spent in hyperglycemia over the 24-hour simulation for the 5 patients was very limited. The controller showed high performance avoiding both hypoglycemia and hyperglycemia. © 2021 IEEE.

关键词： controllers

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Categorification of Negative Information using Enrichment

arXiv

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arXiv 2022年

作者： Censi, Andrea Frazzoli, Emilio Lorand, Jonathan Zardini, Gioele Institute for Dynamic Systems and Control Department of Mechanical and Process Engineering ETH Zurich Switzerland

In many engineering applications it is useful to reason about "negative information". For example, in planning problems, providing an optimal solution is the same as giving a feasible solution (the "positive" information) together with a proof of the fact that there cannot be feasible solutions better than the one given (the "negative" information). We model negative information by introducing the concept of "norphisms", as opposed to the positive information of morphisms. A "nategory" is a category that has "nom"-sets in addition to hom-sets, and specifies the interaction between norphisms and morphisms. In particular, we have composition rules of the form morphism + norphism → norphism. Norphisms do not compose by themselves;rather, they use morphisms as catalysts. After providing several applied examples, we connect nategories to enriched categtory theory. Specifically, we prove that categories enriched in de Paiva’s dialectica categories GC, in the case C = Set and equipped with a modified monoidal product, define nategories which satisfy additional regularity properties. This formalizes negative information categorically in a way that makes negative and positive morphisms equal citizens. © 2022, CC BY.

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Indistinguishability analysis and observer design for size-structured cell populations

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IFAC-PapersOnLine 2023年第2期56卷 581-586页

作者： P. Jerono J.J. Winkin A. Vande Wouwer A. Schaum Digital Process Engineering Group (DPE) Karlsruhe Institute of Technology Germany Department of Mathematics and Institute for Complex Systems (naXys) University of Namur Belgium Systems Estimation Control and Optimization (SECO) University of Mons Belgium Chair of Automation and Control (ACON) Kiel University Germany

The observability property of population balance equations with biomass measurements is addressed within the framework of indistinguishable trajectories. The population balance equation is described by a partial integro-differential equation which is coupled with an ordinary differential equation for the nutrient dynamics. For the semi-discretized model equations, the dynamics of indistinguishable trajectories are derived and evaluated for the special case of equal partitioning at cell division revealing that the observability property is guaranteed as long as the nutrient concentration is not depleted. Based on these results, an observer is designed and tested in simulation to estimate the cell population distribution using biomass measurements in a batch bioreactor for the case of a bi-structured population.

关键词： Observability indistinguishable trajectories cell population dynamics

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Influence of inspiratory resistors on tracheal pressure during ventilation with decelerating flow

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Intensive Care Medicine – Paediatric and Neonatal 2025年第1期3卷 1-10页

作者： Werder, David Stankovic, Nikola Zander, Mark Oliver Serfözö, Peter Erb, Thomas Otto Hammer, Jürg Schmid Daners, Marianne Institute for Dynamic Systems and Control Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland Department of Anesthesiology University Children’S Hospital Basel University of Basel Basel Switzerland Product Development Group Zurich Department of Mechanical and Process Engineering ETH Zurich Zurich Switzerland Emergency Department Lausanne University Hospital Lausanne Switzerland Department of Pulmonology and Critical Care University Children’S Hospital Basel University of Basel Basel Switzerland

Understanding driving pressure is of general interest in lung mechanics, especially in ventilated neonatal and pediatric patients. The aim of this study was to investigate the effects of endotracheal tube size (ETT) and bi-directional linear flow resistors mimicking different degrees of tube and airway obstruction on tracheal pressure (Ptr) during ventilation with decelerating flow. A mechanical lung simulator with unchanged respiratory mechanics like the mimicked compliance and resistance, three ETTs (inner diameters of 7.5 mm, 5.5 mm, and 3.5 mm), and four different linear flow resistors were alternatively connected to a commercial ventilator operating in pressure-controlled mode. Four resistors mimicking various degrees of ETT obstructions were placed consecutively between the Y-piece and the ETT. Varying sequentially ETT size, resistance, and ventilator settings resulted in 90 sets of measurements. Data acquisition, signal processing, and data analysis were performed using Python. The results clarify that decreasing ETT sizes and increasing flow resistances cause an increase in the time necessary to reach zero-flow conditions both during in- and expiration. This results in a decrease of Ptr at the end of inspiration and an increase of Ptr at the end of expiration, if inspiratory and expiratory times remain unchanged. The degree to which peak inspiratory pressure overestimates Ptr (or plateau pressure) in decelerating flow can be substantial and increases with increasing flow resistance. This highlights the importance of measuring plateau pressure or Ptr to understand pressure dynamics delivered to the lung.

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery

Unscented Kalman Filter for State of Charge Estimation of Li...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Joshua Chun-Ken Dardchuntuk David Banjerdpongchai Department of Electrical Engineering Center of Excellence in Intelligent Control Automation of Process Systems Faculty of Engineering Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok Thailand

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO’s electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems.

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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset

Performance Comparison of Lightweight CNN Models for Drone C...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Rifqi Nabila Zufar David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Center of Excellence in Intelligent Control Automation of Process Systems Chulalongkorn University254 Phayathai Road Pathumwan Bangkok Thailand

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work.

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Experimental and Numerical Evaluation of Models for Metallic Honeycomb Sandwich Structures

Experimental and Numerical Evaluation of Models for Metallic...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Ali Mohammed Hussien Sewara Mohsin Mahealdeen Shekhan Asmaa Mehasn Abreesm Petroleum & Gas refinery Engineering Department College of Petroleum process Engineering Tikrit University Iraq Technical Institute of Kirkuk Northern Technical University Iraq Petroleum systems control Engineering Department College of Petroleum Process es Engineering Tikrit University Iraq

Sandwich constructions with metallic honeycomb cores are used in numerous mechanical applications, especially in aerospace, where high explicit modulus or solidity to weight ratios are needed. Square honeycomb sandwich panels are easier to make than hexagonal ones. There is also evidence that square honeycomb sandwich panels have a greater structural integrity-to-weight ratio. Scholarly research on square honeycomb sandwich boards has focused on predicting the structure's response to shear, twisting, in-plane and out- of-plane strain, and dynamic shots. This study compares experimental models of square metallic honeycomb collapse under a three-point twist. Disillusioned curiosity can be shown through face-clasping, face-yielding, center- clasping, and center-yielding. Scientists compare their hypotheses to traditional views that suggest a clash between the minute and fact sheets, the shear and the centre. These tools measure face sheet shear stress and rotating minute centre pressure. The section that deviates from the central region becomes more important as it thickens. Limited component research evaluates explanatory models. The major goals of post-processing limited component models are to understand neighbourhood yielding and locking inside the structure and to examine how adjacent disappointment affects honeycomb power migration. Parametric analysis using multiple honeycomb structures was used to test disappointment ideas. We aim to create separate explanatory frameworks that can anticipate discontentment across stacking levels, geometries, and relative densities. Diagnostic models are combined with key improvement ideas to help architects choose materials and geometry under implementation constraints.

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A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

A Numerical Study on the Parallelization of Dual Decompositi...

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European control Conference (ECC)

作者： Mario Klostermeier Vassilios Yfantis Achim Wagner Martin Ruskowski Department of Mechanical and Process Engineering Chair of Machine Tools and Control Systems University of Kaiserslautern-Landau Kaiserslautern Germany German Research Center for Artificial Intelligence (DFKI) Kaiserslautern Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

The shift from centralized to decentralized systems is increasing the complexity of many problems in control and optimization. However, it also presents the opportunity to exploit parallelized computational schemes. This paper shows how the solution process of mixed-integer problems, which often arise in areas like production scheduling or logistics, can be supported by employing parallel computations. To this end, dual variables are introduced that enable the decomposition of these complex problems into subproblems that can then be solved in parallel. The presented dual decomposition-based approach provides a lower bound for the optimal solution of the original problem, which can support the overall solution process. The focus of this paper is on the parallelizability of the computation of this lower bound. The bounds from three different dual decomposition- based distributed optimization algorithms are compared to the lower bounds provided by several commercial solvers within their branch-&-cut framework.

关键词： processor scheduling Europe Production Programming Complexity theory Optimization Logistics

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