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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Bronczyk, Karolina Adamski, Michal Dabrowska, Agata Konieczka, Adam Dabrowski, Adam Adam Mickiewicz University Faculty of Chemistry Department of Trace Analysis Poznań Poland Poznan University of Technology Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Poznań Poland

ISBN: (纸本)9788362065486

This paper presents measurements of the concentrations of particulate matter (PM1, PM2.5, and PM10), carbon dioxide (CO2), total organic compounds (TVOCs), and formaldehyde as pollutants released during fuel combustion. For this purpose, a suitable measuring device containing selective electrochemical sensors was prepared. The influence of fuel type and engine speed on the amount of pollutants released into the environment, was studied. Based on the achieved results, it can be concluded that the factor influencing the amount of pollutants released is mainly the type of fuel. Gasoline-powered cars can pollute the environment in a particularly negative way. A relationship was also noted between the increase in engine speed and the concentration of released carcinogenic formaldehyde. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Electrochemical sensors

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Comparison of Long-term Energy Demand Forecasting in Developing and Developed Countries Using Machine Learning-based Algorithms 9

Comparison of Long-term Energy Demand Forecasting in Develop...

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9th International Conference on technology and Energy Management, ICTEM 2024

作者： Kiani, Hossein Golshaeian, Sajad Nazari, Mohammad Hassan Gharehpetian, G.B. Hosseinian, Seyed Hossein Sarbazi, Jafar Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Smart Control Systems Department Tehran Iran

ISBN: (纸本)9798350329797

As the world's population grows, many nations grapple with the task of supplying sufficient energy. One effective way to manage and plan for this demand is through energy demand forecasting. In this research, we adopt a method employing machine learning algorithms to predict energy demand in various countries, both developed and developing, up to the year 2050. For our long-term forecast covering 2020 to 2050, two types of historical data are utilized: (i) energy consumption (EEC), and (ii) socio-economic indicators, such as Gross domestic product (GDP), energy import and export, and population. An Artificial Neural Network (ANN) based machine learning is employed utilizing 30 years' worth of socio-economic data (1991-2020). In this manner, the utilization of the ANN facilitates the prediction of long-term energy consumption (EEC) for the planning period spanning from 2020 to 2050. Furthermore, we present an optimization model designed to enhance the precision of our predictions. The outcomes from machine learning algorithms serve as input for our comprehensive model, implemented through ANN across various sections. Ultimately, our forecasts indicate a projected increase in electric energy consumption by 130.1% for Iran, 37.4% for Portugal, and 58.6% for the United States in 2050 compared to 2020. Significant distinctions exist between developing and developed economies with regard to the anticipated trends in Energy Efficiency Compliance (EEC). © 2024 IEEE.

关键词： Adversarial machine learning

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Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification 26

Holistic Self-Distillation with the Squeeze and Excitation N...

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26th International Conference on Information Fusion, FUSION 2023

作者： Su, Jingxuan Anderson, Sean Mihaylova, Lyudmila University of Sheffield Department of Automatic Control & Systems Engineering S1 3JD United Kingdom

ISBN: (纸本)9798890344854

Fine-grained plant pathology classification is an important task for precision agriculture, but at the same time, it is challenging due to the subtle difference in plant categories. Variances in the lighting conditions, position, and stages of disease symptoms usually lead to degradation of classification accuracy. Knowledge distillation is a popular method to improve the model performance to deal with the indistinguishable image classification problem. It aims to have a well-optimised small student network guided by a large teacher network. Existing knowledge distillation methods mainly consider training a teacher network that needs a high storage space and considerable computing resources. Self-knowledge distillation methods have been proposed to distil knowledge from the same network. Although self-knowledge distillation saves time and space compared with knowledge distillation, it only learns label knowledge. In this paper, we propose a novel self-distillation method to recognize the fine-grained plant category, which considers holistic knowledge based on the Squeeze and Excitation Network. We label this new method as holistic self-distillation because it captures knowledge through spatial features and labels. The performance validation of the proposed approach is performed on two public fine-grained plant datasets: Plant Pathology 2021 and Plant Pathology 2020 with the accuracy of 98.22% and 90.72% respectively. We also present experiments on the state-of-the-art algorithm (ResNet-50). The classification results demonstrate the effectiveness of the proposed approach with respect to accuracy. © 2023 International Society of Information Fusion.

关键词： Distillation

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Modified Covariance Intersection-Based Sensor Fault Tolerance of a Gas Turbine Engine

Modified Covariance Intersection-Based Sensor Fault Toleranc...

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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Chakraborty, Tirthankar Maity, Arnab Intelligent Systems and Control Lab Department of Aerospace Engineering Indian Institute of Technology Bombay Mumbai400076 India

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Fault tolerance is crucial in the design and operation of gas turbine engines, where even minor malfunctions can disrupt operations and compromise performance. This paper presents a modified covariance intersection-based decentralized estimator which can ensure uninterrupted operation amidst sensor failures. A network of sensor nodes within the engine is considered. Each node in the network computes a local state estimate, which is subsequently fused with the other node estimates at each time instant. The developed algorithm uses a novel weight adaptation scheme to fuse the node estimates and the associated covariances. The node weights are expressed as a function of the covariance matrix of the node estimate and a scaling matrix. This algorithm is tested through simulation by injecting faults in the sensors of a small-scale gas turbine engine primarily used for research, called the SR-30 engine. The simulation results illustrate the effectiveness of the proposed estimator in ensuring the integrity of the state estimates in the presence of drift and bias faults in the sensors. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Gas turbines

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Heating Station Automated control System Based on a Small-Scale Model of a Laboratory Stand 5

Heating Station Automated Control System Based on a Small-Sc...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Kovalchuk, Viktoriya Korenkova, Tetyana Serdiuk, Oleksandr Korzeniewska, Ewa Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk39600 Ukraine Lodz University of Technology Institute of Electrical Engineering Systems Lodz Poland

ISBN: (纸本)9798350359787

The expediency of using multi-functional laboratory stands in the process of training specialists in the electromechanical profession is substantiated. The paper contains characteristics of the small-scale model of the "Teplopunkt"laboratory stand, on the basis of which it is possible to research the means of automation of heating systems with supply ventilation. The structure of the automated control and monitoring system of the "Teplopunkt"laboratory stand is given. A laboratory workshop based on a small-scale model is developed. Its implementation allows improving the effectiveness of practical training of specialists in the field of automation of thermal processes. The dynamic characteristics of the operation of the laboratory stand with the maintenance of a constant temperature of the heat-transfer agent based on the mathematical model are obtained. © 2023 IEEE.

关键词： Electric drives

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Tracking and Mapping Strategy for Indoor UAV Based on Entropy Theory:An ORB-SLAM3 Extension 41

Tracking and Mapping Strategy for Indoor UAV Based on Entrop...

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第41届中国控制会议

作者： Jian Xu Haoyu Qi Min Xu Yunge Zang Zhen Li Xi Zhang Xiangdong Liu School of Automation and Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

For indoor application,which is an entirely GPS-denied environment,visual simultaneous localization and mapping(SLAM) facilitates the real autonomy of unmanned aerial vehicle(UAV) but raises the challenging requirement on accurate localization with low computational *** address this difficulty,a stereo-camera based SLAM system is proposed by applying Entropy theory to *** an extension to ORB-SLAM3,the additional entropy decision module and map processor are specifically *** decision module can improve computing efficiency by deciding whether keyframes or extra optimization should be ***,the map processor is targeted at loading and maintaining the prior map whenever *** results in indoor laboratory environment show that the developed system can achieve the superior localization accuracy in more efficient computation manner with smaller size of mapping compared with ***,the map can be effectively expanded and corrected even when prior information is invalid,greatly increasing the robustness of SLAM system.

关键词： UAV stereo-camera ORB-SLAM3 entropy theory prior map

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Modelling and Experimental Analysis for a two legged Wheel Robot with a Fuzzy LQR control 7

Modelling and Experimental Analysis for a two legged Wheel R...

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7th International Conference on Green technology and Sustainable Development, GTSD 2024

作者： Tran, Nhat Tin Tran, Minh Hoang Phi Nguyen, Tran Nhat Tran, Duc Thien Ho Chi Minh City University of Technology and Education Automatic Control Department Ho Chi Minh City700000 Viet Nam

ISBN: (纸本)9798350386073

This study designs and implements a two-legged wheeled robot (TLWR) with an advanced controller that includes a fuzzy supervisor and a linear quadratic regulator (LQR) controller. The designed TLWR has a four-bar linked mechanism employed to support the ability to adjust the height independently of each leg and maintain stability while moving on uneven terrain. Due to uncertainties regarding modelling parameters such as friction coefficience, disturbances and mechanical inaccuracies, these factors can have a negative effect on the system performance. To manage the above challenges the fuzzy LQR controller is designed based on the LQR controller and a fuzzy logic system (FLS). The FLS computes the parameters of the LQR controller according to the posture of the robot. Finally, several experiments have been conducted to evaluate the balance and efficiency of the controller and model of TLWR while moving at varying heights. © 2024 IEEE.

关键词： Balancing

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Duality of Geometric Tests for Forward-Flatness

arXiv

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arXiv 2024年

作者： Schrotshamer, Johannes Kolar, Bernd Schöberl, Markus Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Austria

Recently it has been shown that the property of forward-flatness for discrete-time systems, which is a generalization of static feedback linearizability and a special case of a more general concept of flatness, can be checked by two different geometric tests. One is based on unique sequences of involutive distributions, while the other is based on a unique sequence of integrable codistributions. In this paper, the relation between these sequences is discussed and it is shown that the tests are in fact dual. The presented results are illustrated by an academic example. © 2024, CC BY.

关键词： Discrete time control systems

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Frequency Domain Auto-tuning of Structured LPV controllers for High-Precision Motion control 63

Frequency Domain Auto-tuning of Structured LPV Controllers f...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Broens, Yorick Butler, Hans Toth, Roland Asml Veldhoven Netherlands Eindhoven University of Technology Department of Electrical Engineering Eindhoven Netherlands Hunren Institute for Computer Science and Control Systems and Control Laboratory Hungary

ISBN: (纸本)9798350316339

Motion systems are a vital part of many industrial processes. However, meeting the increasingly stringent demands of these systems, especially concerning precision and throughput, requires novel control design methods that can go beyond the capabilities of traditional solutions. Traditional control methods often struggle with the complexity and position-dependent effects inherent in modern motion systems, leading to compromises in performance and a laborious task of controller design. This paper addresses these challenges by introducing a novel structured feedback control auto-tuning approach for multiple-input multiple-output (MIMO) motion systems. By leveraging frequency response function (FRF) estimates and the linear-parameter-varying (LPV) control framework, the proposed approach automates the controller design, while providing local stability and performance guarantees. Key innovations include norm-based magnitude optimization of the sensitivity functions, an automated stability check through a novel extended factorized Nyquist criterion, a modular structured MIMO LPV controller parameterization, and a controller discretization approach which preserves the continuous-time (CT) controller parameterization. The proposed approach is validated through experiments using a state-of-the-art moving-magnet planar actuator prototype. © 2024 IEEE.

关键词： Continuous time systems

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A Dual Geometric Test for Forward-Flatness

arXiv

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arXiv 2024年

作者： Kolar, Bernd Schrotshamer, Johannes Schöberl, Markus Institute of Automatic Control and Control Systems Technology Johannes Kepler University Linz Austria

Forward-flatness is a generalization of static feedback linearizability and a special case of a more general flatness concept for discrete-time systems. Recently, it has been shown that this practically quite relevant property can be checked by computing a unique sequence of involutive distributions which generalizes the well-known static feedback linearization test. In this paper, a dual test for forward-flatness based on a unique sequence of integrable codistributions is derived. Since the main mathematical operations for determining this sequence are the intersection of codistributions and the calculation of Lie derivatives of 1-forms, it is computationally quite efficient. Furthermore, the formulation with codistributions also facilitates a comparison with the existing discrete-time literature regarding the closely related topic of dynamic feedback linearization, which is mostly formulated in terms of 1-forms rather than vector fields. The presented results are illustrated by two examples. © 2024, CC BY.

关键词： Feedback linearization

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