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4th International Conference on Emerging Trends and Technologies on Intelligent systems, ETTIS 2024

作者： Roșca, Cosmina-Mihaela Cărbureanu, Mădălina Department of Automatic Control Computers and Electronics Faculty of Mechanical and Electrical Engineering Petroleum-Gas University of Ploiesti 39 Bucharest Avenue Ploieşti100680 Romania

ISBN: (纸本)9789819757022

In the era of artificial intelligence and real-time applications, the demand for swift data processing on large volumes has become paramount. This article delves into the critical role of programming languages and frameworks in meeting these requirements. With a focus on web development, the study conducts a comparative analysis of eight classic sorting algorithms—Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, Heap Sort, Introspective Sort, and Shell Sort—evaluated in two prominent programming languages, PHP and C#. The research emphasizes the importance of selecting programming tools based on performance criteria in the context of modern applications. Next, a new formula for assessing the complexity of sorted words was introduced, aiming to scrutinize its impact on sorting time. Furthermore, a comparative analysis was conducted, evaluating the implementation of sorting in C# using arrays versus lists. The article sought to delineate the intricacies associated with each approach, considering computational efficiency and resource utilization. The discourse delved into the nuanced aspects of word complexity measurement and its consequential effects on the performance of sorting algorithms in the context of C# programming, contributing valuable insights to the ongoing discourse on algorithmic optimization and language-specific implementation choices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： C (programming language)

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Two-stage Active Disturbance Rejection control in aerospace applications: The case of an orbit transfer for a point mass satellite. 20

Two-stage Active Disturbance Rejection Control in aerospace ...

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20th International Conference on electrical engineering, Computing Science and automatic control, CCE 2023

作者： Aguilar-Orduña, Mario Andrés Sira-Ramírez, Hebertt José Gómez-León, Brian Camilo Garrido-Moctezuma, Rubén Alejandro Cinvestav-IPN Electrical Engineering Department Mexico City Mexico Cinvestav-IPN Automatic Control Department Mexico City Mexico

ISBN: (纸本)9798350306767

Technological advances have led to the development of smaller and more efficient satellites, which have gained popularity in various fields including education, research, and communications. However, disturbances such as gravitational forces, atmospheric drag, and space debris may affect their orbits. This article proposes a two-stage Active Disturbance Rejection control (ADRC) approach for the orbit transfer of small satellites. The paper presents the control design procedure and showcases numerical simulations, demonstrating the technique's effectiveness in the particular case of study. © 2023 IEEE.

关键词： Aerospace applications

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Combined Filters Design, Using the Principle of Internal Models

Combined Filters Design, Using the Principle of Internal Mod...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Gaiduk, Anatoly Denisenko, Darya Prokopenko, Nikolay Southern Federal University Scientific Design Office Robotics and Control Systems Department of Automatic Control Systems Rostov-on-Don Taganrog Russia Department of scientific research Don State Technical University Rostov-on-Don Russia Department of Automatic Control Systems Southern Federal University Rostov-on-Don Russia Don State Technical University Department of Information Systems and Radio Engineering Rostov-on-Don Russia

To design active analog, discrete-analog and digital filters a new method is suggested, taking into account the conditions of selective invariance and using the internal models principle of the dynamic systems. For this purpose, the structure of each basic filter ensures the presence of an explicit spectral model of the filtered signal. Such a filter is selectively invariant, and this property depend only on the spectrum-setting parameters and do not depend on other parameters. It is suggest-ed to carry out the design of the combined selective filters by integration of the suggested basic second-order filters, focusing on the log magnitude plot of the latter. This makes possible to minimize the order of the combined both analog and digital filters. The combined selective filters are distinguished by high stability of selective properties and can be used in the systems for measurement, signal processing, data transmission, as well as automatic and automated control of various social, production and special facilities. © 2024 IEEE.

关键词： Wiener filtering

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Model Predictive Torque control of Six-Phase Switched Reluctance Motors Based on Improved Voltage Vector Strategy

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7650-7661页

作者： Yang, Yifei Sun, Xiaodong Dianov, Anton Demidova, Galina Prakht, Vladimir Wang, Yong Han, Shouyi Suzhou Vocational University School of Mechanical and Electrical Engineering Suzhou215104 China Jiangsu University Automotive Engineering Research Institute Zhenjiang212013 China Wenzhou University Pingyang Institute of Intelligent Manufacturing Wenzhou325035 China ITMO University Faculty of Control Systems and Robotics Petersburg197101 Russia Ural Federal University Department of Electrical Engineering Ekaterinburg620062 Russia Jiangsu University School of Electrical and Information Engineering Zhenjiang212013 China

To rapidly and accurately establish the model of switched reluctance motors (SRMs) and enhance torque control performance, this paper proposes a model predictive torque control (MPTC) strategy based on the optimized voltage vector. First, a fourth-order Fourier series is used to calculate the flux and torque models, and a complete nonlinear model of the SRM is constructed using the Kriging model. Second, the torque characteristics are used to divide the sectors, thereby reducing the number of candidate voltage vectors (CVVs) and effectively decreasing the computational burden of predictive control. Finally, an adaptive adjustment algorithm for the sector boundary angle is proposed, where the position of the sectors is determined based on variations in speed and load. The proposed method reduces torque ripple and enhances dynamic response capability. The effectiveness of this approach is validated through experiments on a 12/10 pole six-phase SRM prototype. © 2015 IEEE.

关键词： Vectors

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Trajectory tracking of a single-link manipulator driven from a double-bridge Buck converter: A cascade ADRC approach. 20

Trajectory tracking of a single-link manipulator driven from...

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20th International Conference on electrical engineering, Computing Science and automatic control, CCE 2023

作者： Hernández, Alejandro Esaú Meléndez Aguilar-Orduña, Mario Andrés Gómez-León, Brian Camilo Sira-Ramírez, Hebertt José Cinvestav-IPN Electrical Engineering Department Mexico City Mexico Cinvestav-IPN Automatic Control Department Mexico City Mexico

ISBN: (纸本)9798350306767

The present article deals with a two-stage cascade ADRC control scheme applied to an actuated single manipulator mechanical system driven by a DC motor controlled by a double bridge DC-DC Buck converter. The proposal illustrates the advantages of the cascade schemes for SISO-coupled subsystems, where interconnected electrical and mechanical stages with different time constants are naturally separated. Experimental validations are shown where a trajectory-tracking task is proposed as a control objective. A simple but effective Exponential Moving Average filter proposal for the measurement noise management is included due to the noisy electrical signals used to control the internal cascade ADRC scheme. © 2023 IEEE.

关键词： DC motors

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Development of a 10 kV Grid Model for the Research Methodology of Digital Instrument Transformers in the Conditions of Arc Intermittent Single-Phase Earth Faults

Development of a 10 kV Grid Model for the Research Methodolo...

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2023 International Russian Automation Conference, RusAutoCon 2023

作者： Filatova, Galina Dobryagina, Olga Litvinov, Sergey Ivanovo State Power Engineering University Automatic Control of Electric Power Systems Ivanovo Russia Ivanovo State Power Engineering University Electrical Stations Substations and Diagnostics of Electrical Equipment Ivanovo Russia

ISBN: (纸本)9798350345551

Scientists of the Ivanovo State Power engineering University (ISPEU) together with industrial partners developed and researched digital instrument current and voltage transformers (DIT). The devices already have operational experience in existing electrical power installations. However, some applications of DIT require additional research. The article presents combined DIT of 6(10) kV experimental investigation method in the conditions of arc intermittent single-phase earth faults (SPEF), as well as a simulation model of a 10 kV grid developed in RSCAD RTDS for modeling transients during SPEF. The model parameters and its verification with a similar grid model developed in Matlab Simulink are given. © 2023 IEEE.

关键词： MATLAB

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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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Real-time power flow analysis and management for a long-endurance solar UAV during continuous flight

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CEAS Aeronautical Journal 2023年第4期14卷 1035-1049页

作者： Ghelem, Nourddine Boudana, Djamel Bouchhida, Ouahid Laboratory of Process Control LCP Department of Engineering Control Systems and Applied Mathematics National Polytechnic School ENP of Algiers 10 St Hacen Badi El Harrach Algiers Algeria Department of Electrical Engineering LREA Laboratory University of Medea Medea Algeria

One of the primary challenges for Unmanned Aerial Vehicle (UAV) developers is to improve their endurance while in the air, as their typical flight time is limited to a few hours. One widely used technology to enhance their endurance is harnessing solar energy to power UAV and charge their batteries in flight. This article presents the development of a real-time simulation environment to enable the continuous flight of the Sky Sailor solar UAV. Through the utilization of a solar irradiance model, a solar panel model, real-time power generation is calculated. Simultaneously, the UAV’s full dynamic model, along with the autopilot and propulsion system model, is employed to determine the energy consumption at each moment. The energy management algorithm then compares the acquired energy with the power consumed, and in cases of surplus energy, it is efficiently stored in the battery for nighttime usage. Simulations show that continuous flight of the drone can be achieved during the summer season, when the daylight hours are long enough to fully charge the battery, With the ability to fly continuously during this period, the UAV can be used in various areas, such as monitoring forest fires, agricultural fields, beaches, and security monitoring for oil companies and their life bases in deserts. © 2023, Deutsches Zentrum für Luft- und Raumfahrt e.V.

关键词： Solar energy

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Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos 38

Optimal-state Dynamics Estimation for Physics-based Human Mo...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Le, Cuong Johansson, Viktor Kok, Manon Wandt, Bastian Department of Electrical Engineering Linköping University Sweden Delft Center for Systems and Control Delft University of Technology Netherlands

Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motion and struggle to achieve smooth and physically plausible motions. Explicitly integrating physics, in form of internal forces and exterior torques, helps alleviating these artifacts. Current state-of-the-art approaches make use of an automatic PD controller to predict torques and reaction forces in order to re-simulate the input kinematics, i.e. the joint angles of a predefined skeleton. However, due to imperfect physical models, these methods often require simplifying assumptions and extensive preprocessing of the input kinematics to achieve good performance. To this end, we propose a novel method to selectively incorporate the physics models with the kinematics observations in an online setting, inspired by a neural Kalman-filtering approach. We develop a control loop as a meta-PD controller to predict internal joint torques and external reaction forces, followed by a physics-based motion simulation. A recurrent neural network is introduced to realize a Kalman filter that attentively balances the kinematics input and simulated motion, resulting in an optimal-state dynamics prediction. We show that this filtering step is crucial to provide an online supervision that helps balancing the shortcoming of the respective input motions, thus being important for not only capturing accurate global motion trajectories but also producing physically plausible human poses. The proposed approach excels in the physics-based human pose estimation task and demonstrates the physical plausibility of the predictive dynamics, compared to state of the art. The code is available on. © 2024 Neural information processing systems foundation. All rights reserved.

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SAR performance-based fault diagnosis for electrohydraulic control system:A novel FDI framework for closed-loop system

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Chinese Journal of Aeronautics 2022年第10期35卷 381-392页

作者： Yang ZHANG Shaoping WANG Jian SHI Xinyu YANG Jiarui ZHANG Xi WANG School of Energy and Power Engineering Beihang UniversityBeijing 100191China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Institute for Automatic Control and Complex Systems(AKS) University of Duisburg-EssenDuisburg 47057Germany

Model-based fault diagnosis serves as an efficient and powerful technique in addressing fault detection and isolation(FDI)issues for control ***,the standard methods and their modifications still encounter some difficulties in algorithm design and application for complex higher-order *** avoid these difficulties,a novel fault diagnosis framework based on multiple performance indicators of closed-loop control system is *** this framework,a socalled performance residual vector is constructed to measure the differences between the real system and the nominal model in terms of system stability,accuracy,and rapidity(SAR)*** criteria for quantification,normalization of the SAR residuals and the explicit mappings between the thresholds and the required performance are *** can be easily achieved simultaneously by monitoring the normalized residual vector length and direction in the SAR performance residual space.A case study on electro-hydraulic servo control system of turbofan engine is adopted to demonstrate the effectiveness of the proposed method.

关键词： Electro-hydraulic servo valve(EHSV) Fault diagnosis Fuel metering unit Performance degradation Performance residual Stability,accuracy,and rapidity(SAR)

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