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Automatics and Informatics (ICAI), International Conference

作者： Stefan Ivanov Nedyu Nedev Zvezditza Nenova Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Fundamentals of Electrical and Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

In the present work is investigated the impact of ambient temperature in the range of 20°C to 50°C under a change in relative humidity RH of 20% up to 92 % on the characteristics of a highly sensitive TiO 2 -SiO 2 -based thin-film impedance humidity sensor element doped with Ce and prepared by a sol-gel method. The variation of sensor impedance changes in a very wide range - about 4 orders of magnitude. The sensor element is connected in a measurement circuit based on an AC bridge, a variable gain amplifier, a precision rectifier, and a microcontroller with a built-in analog-to-digital converter. The use of artificial neural networks monitoring the ambient temperature and measured voltage is proposed for the realization of the temperature compensation of the characteristics. The proposed approach allows compensating the impact of temperature and performing measurements when connecting humidity sensing elements with a very wide range of impedance change.

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Study of Dynamic Processes in Nonlinear Discrete systems with Delay Based on Graph Models

Study of Dynamic Processes in Nonlinear Discrete Systems wit...

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2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

作者： Ubaydullayeva, Shakhnoza R. Yunusova, Sayyora Barno, Yeshmatova tashkent Inst. of Irrigation and Agricultural Mechanization Engineers National Research University Department 'Automation and Control of Technology Process in Production' Tashkent Uzbekistan Tashkent State Technical University Department Information Processing and Management Systems Tashkent Uzbekistan Tashkent State Technical University Department of Automation and Management of Technological Processes and Production Tashkent Uzbekistan

ISBN: (纸本)9781665483698

In connection with the problems of development and implementation of perfect automatic and automated control systems for complex technological processes based on modern information technology tools, the development of research methods for multidimensional nonlinear discrete control systems is of particular relevance. The variety of these systems is due to the types of modulation, non-linearities, modes of operation of impulse elements, characteristics of continuous parts. The article deals with the problems of modeling and research of one-dimensional and multidimensional pulse-frequency systems with delay based on the use of dynamic graphs. One of the key points in solving the problem is an approach based on the maximum consideration of the physical features of these systems. Given the structural complexity of systems, it is necessary first of all to establish the possibility of decomposing the system into simpler subsystems. Then the study of the system can be reduced to the study of individual subsystems and the nature of their interaction, that is, to the determination of the properties of the system as a whole by the properties of its elements. systems with frequency-pulse modulation are essentially non-linear systems. The topological method based on dynamic graph models allows solving the fundamental difficulties of studying nonlinear discrete systems with delay, allows clearly and strictly formalizing their description, and makes it possible to obtain effective algorithms for analyzing one-dimensional and multidimensional systems of this class. The article presents an example of using the obtained algorithm. © 2022 IEEE.

关键词： Graph theory

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Modernization of the Second Normal Form and Boyce-Codd Normal Form for Relational Theory 3rd

Modernization of the Second Normal Form and Boyce-Codd Norma...

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3rd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020

作者： Rolik, Oleksandr Amons, Oleksandr Ulianytska, Kseniia Kolesnik, Valerii Department of Automation and Control in Technical Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Kyiv03056 Ukraine

ISBN: (纸本)9783030555054

The task of designing relational databases has always been the subject of scientific research, as it is associated with a number of interrelated steps. The result of each step is the development of models for presenting the future database with further refinement and, finally, the creation of an adequate relational database as a set of relations with the corresponding links between them. The article focuses on the normalization of databases, as one of the steps to create a datalogical model, namely, the use of the first three Normal Forms. As a result of the analysis carried out in the article, it was concluded that the definition of the Second Normal Form can be modernized and thus achieve two goals: to ensure the correct creation of potential primary keys and, thereafter, the correct external connections between relations, even before creating the data schema in a specific relational database. Moreover, to reconsider the necessity of applying the so-called "strengthened" or a higher version of the Third Normal Form, which speaks of mutual dependencies between key and non-key attributes. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Normal forms Normalization Relational database Relational theory

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Development of a Fault Adaptation System for Underwater Robot Manipulators

Development of a Fault Adaptation System for Underwater Robo...

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2022 International Conference on Ocean Studies, ICOS 2022

作者： Filaretov, Vladimir Zuev, Alexander Zhirabok, Alexey Protsenko, Alexander Institute of Automation and Control Processes Vladivostok Russia Sevastopol State University Department of Informatics and Control in Technical Systems Sevastopol Russia Institute of Marine Technology Problems Vladivostok Russia Far Eastern Federal University Department of Automatics and Robotics Vladivostok Russia

ISBN: (纸本)9781665473729

The paper describes the development and research of a system of adaptation to faults of manipulators of underwater robots. The following types of faults were considered: unknown additional load torques on the output shafts of the manipulator electric drives, changes in the electrical resistance of the armature windings of electric motors, and measurement errors of sensors of the position of the manipulator links. The proposed system makes it possible to identify these faults and compensate for their negative consequences in two stages. At the first stage, the values of faults are estimated using a bank of diagnostic observers operating in a sliding mode. At the second stage, with the help of the obtained estimates, a control signal is generated that ensures the stabilization of dynamic properties of each electric drive at the desired level. To check the operability of the proposed system, a computer simulation was carried out. © 2022 IEEE.

关键词： Manipulators

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Expanding conformal prediction to system identification

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Pattern Recognition 2025年 167卷

作者： Msaddi, Saleh Kumbasar, Tufan Artificial Intelligence and Intelligent Systems Laboratory Istanbul Technical University Istanbul34469 Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul34469 Turkey

System Identification (SysID) is a cornerstone of control engineering, aimed at modeling system dynamics from input–output data. However, SysID approaches often overlook uncertainty quantification (UQ), which is crucial for robust decision-making. To address this gap, we propose Conformal System Identification (C-SysID), a model-agnostic framework for UQ in single-output and multiple-output SysID tasks. C-SysID transforms point predictions of any SysID model into High-Quality (HQ) Prediction Intervals (PIs) for single-output systems or Prediction Regions (PRs) for multiple-output systems, ensuring the true output is captured within the specified confidence level. For single-output systems, we use the Updated Residuals (UR) and Weighted Updated Residuals (WUR) methods to generate valid HQ PIs. In the case of multiple-output systems, we apply the Copula method and introduce the Updated Copula (UC) method, which captures output dependencies to generate HQ PRs. We empirically validate C-SysID on diverse single-output and multiple-output SysID datasets. The statistically significant comparative results show that the WUR method outperforms baseline methods, delivering tight PIs with the desired coverage. For multiple-output systems, our proposed UC method generates PRs that achieve accurate joint coverage while maintaining the compactness of PRs. The results highlight the effectiveness of C-SysID in UQ and enhancing uncertainty-aware predictions for SysID applications. © 2025 Elsevier Ltd

关键词： Parameter estimation

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Development of Digital Pressure Observer in Hydraulic Cylinders for Vertical Balancing of Rolling Stand Spindles

Development of Digital Pressure Observer in Hydraulic Cylind...

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2023 Russian Workshop on Power Engineering and automation of Metallurgy Industry: Research and Practice, PEAMI 2023

作者： Loginov, B.M. Gasiyarova, O.A. Khramshin, V.R. Voronin, S.S. Pjsc Magnitogorsk Iron and Steel Works Magnitogorsk Russia Llc Npp Uchtekh-Profi Department of Material Science Chelyabinsk Russia Nosov Magnitogorsk State Technical University Power Engineering and Automated Systems Institute Magnitogorsk Russia Moscow Polytechnic University Department of Automation and Control Moscow Russia

ISBN: (纸本)9798350322156

A literature review showed that the causes of accidents frequently occuring at rolling mills are fatigue failures of spindle heads or necks of mill rollers. This confirms the relevance of developing the systems for monitoring the wear degree of the spindle joint components directly during the rolling process. This is relevant for thick plate rolling mills operating under shock load application. As a diagnostic feature, it is proposed to use pressure in hydraulic cylinders of spindle vertical balancing. It has been experimentally proved that the process of fatigue failure development increases such pressure;that is why it is an informative criterion in terms of defect growth. The observer structure is proposed;at the observer output the variable pressure component is restored, and an emergency signal is generated. The algorithm for virtual observer configuration is implemented in the Matlab Simulink package. The proposed algorithm has been implemented in pilot operation on a thick plate mill 5000. The authors give an example of a pre-emergency situation on-line monitoring. The timely emergency warning has been registered and confirmed which proves the technical and economic efficiency of the observer adoption. © 2023 IEEE.

关键词： Cylinders (shapes)

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A Compartmental Modelling Framework for Drug Distribution in Lean and Obese Patients in Long-Term General Anesthesia*

A Compartmental Modelling Framework for Drug Distribution in...

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European control Conference (ECC)

作者： Amani R. Ynineb Erhan Yumuk Hamed Farbakhsh Ghada Ben Othman Dana Copot Isabela R. Birs Cristina I. Muresan Robin De Keyser Samir Ladaci Clara M. Ionescu Martine Neckebroek Department of Electromechanics Ghent University Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 Zwijnaarde Belgium Department of Control and Automation Engineering Technical University of Istanbul Maslak Istanbul Turkey Department of Automation Technical University of Cluj Napoca Romania Cluj Romania Department of Automatics and Control Engineering National Polytechnic School Algiers Algeria Department of Anesthesia Ghent University Hospital Ghent Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In personalized medicine applications such as general anesthesia, an individualised pharmacokinetic (PK) model requires to move away from the classical assumption of homogeneous drug mixing in various tissue compartments in the body. By default, these model coefficients are pre-surgery initialized from population based models as a function of age, gender, weight, height, lean body mass and do not include at this moment specific drug diffusion patterns in the fat compartment, whereas various types of fat will induce various time constants in non-lean patients. In this work, the pharmacokinetic compartmental model structure is revisited to account for non-uniform distribution of uptake/clearance time constants in patients as a nonlinear function of body mass index. Simulations are confirming expected patterns of drug distribution in the body and can account for post-anesthesia side effects up to 72 hours. The model is a novel advance in providing the control community with yet increasingly realistic patient models for closed loop control of anesthesia.

关键词： Drugs Precision medicine Sociology Surgery Europe Tail Anesthesia

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Numerical Analysis of Mechatronic systems with Pulse Width Modulation

Numerical Analysis of Mechatronic Systems with Pulse Width M...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Vyacheslav V. Shpak Konstantin A. Timofeev Yuriy V. Shornikov Department of Automated Control Systems Novosibirsk State Technical University Novosibirsk Russia Institute of Automation and Electrometry of the Siberian Branch of the Russian Academy of Sciences Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Pulse width modulation is widely used in modern engine control systems. With this control method, power is regulated by periodically turning on and off the load for a specified period of time. Mathematical models of dynamic systems with this control method are hybrid dynamic systems. To model such systems, it is necessary to take into account the features of continuous-event processes obtained by solving the Cauchy problem with a discontinuous right-hand side. In particular, not only special integration methods are required, but also event detection algorithms. The article discusses the detection algorithm implemented in the SimInTech software package at the structural level of model description. An analysis of the modeling accuracy was carried out using the example of a simple servo drive with pulse-width modulation with different options for event detection. The original detection algorithm in combination with the original ARK integration method was successfully tested when simulating servo drives with a pulse width modulator.

关键词： Analytical models Accuracy Event detection Pulse width modulation control systems Mathematical models Numerical models

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Context-Aware control for Quality Improvement in Liquid Steel Manufacturing

Context-Aware Control for Quality Improvement in Liquid Stee...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Birs, Isabela R. Muresan, Cristina I. Susca, Mircea Mihaly, Vlad Mihai Ghita, Mihaela Ghita, Maria De Keyser, Robin Ionescu, Clara Eedt Decision & Control Flanders Make Consortium Tech Lane Science Park 125 and 131 GhentB-9052 Belgium Ghent University Research Group of Dynamical Systems and Control Faculty of Engineering and Architecture Belgium Technical University of Cluj Napoca Department of Automation Memorandumului nr 28 Cluj-Napoca400114 Romania

ISBN: (纸本)9798350335446

This paper presents an original theoretical and implementation framework of fractional order event-based control with the purpose of quality improvement at the end production line of a continuous casting process. A real-life steel manufacturing plant is taken into consideration in the study. A prior fractional order model is considered to tune a fractional order Proportional Integral controller that ensures an ideal flow velocity of liquid steel. A novel event-based fractional order methodology is proposed that uses internal and external process events in order to improve quality. The implementation strategy takes into consideration available software and hardware components at the plant site, offering a realistic and implementable solution, highly suitable for the current steel industry setting. Numeric simulations successfully validate the proposed methodology. © 2023 IEEE.

关键词： Steelmaking

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Batch-to-Batch Optimization with Model Adaptation Leveraging Gaussian Processes: The Case of Optogenetically Assisted Microbial Consortia 23

Batch-to-Batch Optimization with Model Adaptation Leveraging...

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23rd International Conference on control, automation and systems, ICCAS 2023

作者： Espinel-Rios, Sebastian Kok, Rudolph Klamt, Steffen Avalos, Jose L. Findeisen, Rolf Analysis and Redesign of Biological Networks Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Princeton University Department of Chemical and Biological Engineering Princeton United States Institute for Automation Engineering Otto von Guericke University Magdeburg Magdeburg Germany Control and Cyber-Physical Systems Laboratory TU Darmstadt Germany

ISBN: (纸本)9788993215274

Microbial consortia are promising biotechnological production systems with the potential to divide complex metabolic pathways into smaller submodules, as well as make products and consume substrates that monocultures cannot. Maintaining optimal cell population levels and preventing mono culture formation challenge bioproduction by microbial consortia. Optogenetics allows for regulating the expression of key growth-regulatory genes through light to modulate cell population levels. Model-based dynamic optimization can determine optimal light trajectories and inoculum sizes that maximize product synthesis while satisfying system constraints, e.g., safety, economic, or technical aspects. Further-more, closed-loop dynamic optimization can address system uncertainty to a certain extent;however, its implementation is challenging due to limited online sensors. Alternatively, here we propose to perform open-loop optimization with batch-to-batch model adaptation based on Gaussian processes for maximizing bioproduction by optogenetically assisted consortia. The proposed approach enables knowledge transfer from existing to new models, improving predictability and optimization performance in each batch while avoiding costly and time-consuming modeling experiments. Compared to closed-loop optimization, this strategy is easier to implement as it does not rely on online monitoring, contributing to the state of the art in optimizing bioproduction by microbial consortia. We outline the applicability of the approach using simulation experiments of an optogenetically assisted consortium for the biosynthesis of the flavonoid naringenin, considering both parameter and model structure uncertainty. © 2023 ICROS.

关键词： Substrates

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