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11th IEEE International Conference on systems and control, ICSC 2023

作者： Alsharif, Ali Omar M. Jmal, A. Naifar, O. Ahmed, Ausama H. Gassara, Hamdi Makhlouf, A. Ben Electrical Engineering Department BP 1173 Sfax3038 Tunisia Elmergib University Faculty of Engineering Department of Electrical & Computer Engineering Alkhums Libya National School of Engineering of Sfax University of Sfax Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering Tunisia Faculty of Sciences of Sfax Department of Mathematics Route Soukra BP 1171 Sfax3000 Tunisia

ISBN: (纸本)9798350304886

One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes to fractional calculus. By providing a stabilizing strategy for a certain type of OSL fractional order nonlinear systems, this study fills the gap. A numerical example demonstrating the correctness of the suggested approach and demonstrating its efficacy for the tested class. © 2023 IEEE.

关键词： Stabilization

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Making children read more and better by integrating natural language processing and gamification techniques into mobile applications 24

Making children read more and better by integrating natural ...

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24th International Conference on control systems and Computer Science, CSCS 2023

作者： Voicu, George Catalin Ciolofan, Sorin N. Dragoicea, Monica Manager Emag Bucharest Romania Politehnica University of Bucharest Department of Computer Science Bucharest Romania Politehnica University of Bucharest Department of Automatic Control and Systems Engineering Bucharest Romania

ISBN: (纸本)9798350313390

It is well known that nowadays children tend to spend lot of time playing games on mobile devices at the expense of reading books. The current research aims to explore ways to design and develop a mobile application, attractive for children, that uses voice recognition technology and gamification techniques to help children read more and better and to track the progress of reading. The application is implemented with Flutter, Dart and Firebase and is addressed to children, the books being made available in encyclopedia format. By integrating technologies such as NLP and gamification the application aims to improve reading fluency among children, but also to give them the opportunity to accumulate new and exciting information in the same time. © 2023 IEEE.

关键词： Human computer interaction

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Detection of Cracks in the Industrial System Using Adaptive Principal Component Analysis and Wavelet Denoising 25

Detection of Cracks in the Industrial System Using Adaptive ...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Faizan-E-Mustafa Ahmed, Ijaz Maaruf, Muhammad Khalid, Muhammad Islamabad44650 Pakistan Control & Instrumentation Engineering Department Dhahran31261 Saudi Arabia Kfupm Electrical Engineering Department Dhahran31261 Saudi Arabia Irc For Sustainable Energy Systems Kfupm Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350340266

In evaluating industrial cyber-physical systems, there is an emerging inclination toward employing data-driven exploration techniques for the purpose of fault detecting and diagnosing typical procedural behaviors. The primary objective is to identify occurrences of typical behavior of the fundamental factors contributing to the aberrations. Multivariate statistical analysis, namely Principal Component Analysis (PCA), has con-siderable importance within the realm of research methodologies. This method is frequently employed in the context of outlier detection metrics, including the Hotelling T2 statistic and the Squared Prediction Error (SPE), which are commonly utilized for fault identification purposes. The present work presents a novel and adaptable thresholding technique that utilizes a modified variant of the PCA with wavelet denoising. This method en-ables enhanced sensitivity and robustness to abnormalities while minimizing the occurrence of false alarms and missed detection rate. In this paper, the novel methodology employs a dynamic threshold that undergoes adjustments in accordance with the available data of the Hanoi University of Science and Technology ball-bearing experimental setup. The findings indicated that the novel strategy exhibited significantly more efficacy in identifying anomalies compared to the conventional technique. Moreover, it exhibited a reduced probability of producing erroneous alerts raising sensitivity and robustness for fault detection. © 2024 IEEE.

关键词： Principal component analysis

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Volt-Var control for Utility-scale Solar PV Plants to Replace SVCs 4

Volt-Var Control for Utility-scale Solar PV Plants to Replac...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Shimomukai, Ken Maeda, Haruka Fujita, Goro Shibaura Institute of Technology Functional Control Systems Graduate School of Engineering and Science Tokyo Japan Shibaura Institute of Technology Graduate School of Engineering and Science Department of Electrical Engineering and Computer Science Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

One way to increase solar photovoltaic penetration in the grid is management of voltage fluctuations. This is because a photovoltaic plant cannot be interconnected to the grid if it causes voltage violations. Voltage violation is where voltage exceeds the acceptable range. Often, grid operators request photovoltaic plant owners to regulate voltage sufficiently with expensive and space-consuming static Var compensators. Unfortunately, this sometimes makes the project less feasible. This paper argues that there are better ways to regulate voltage. We ran a simulation with a 70 MWp photovoltaic plant as an addition to the grid. Without voltage regulation, voltage violations were found to be significant. This paper found that oversizing the inverter sufficiently would remove all voltage violations without deploying a static Var compensator. This is often a cheaper and space-saving solution for voltage management. This paper argues that economics and spatial efficiency of reactive power compensation devices is key to increasing photovoltaic penetration. © 2023 IEEE.

关键词： Reactive power

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On the Gaussian Filtering for Nonlinear Dynamic systems Using Variational Inference 27

On the Gaussian Filtering for Nonlinear Dynamic Systems Usin...

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27th International Conference on Information Fusion, FUSION 2024

作者： Liu, Yi Li, Xi Yang, Le Mihaylova, Lyudmila Li, Ji University of Canterbury Department of Electrical and Computer Engineering Christchurch New Zealand National University of Defense Technology State Key Lab of Complex Electromagnetic Environment Effects on Electronics and Information Systems Changsha China University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom Locaris Electronic Technology Co. Ltd Zhengzhou China

ISBN: (纸本)9781737749769

This paper introduces a new variational Gaussian filtering approach for estimating the state of a nonlinear dynamic system. We first assume that the predictive distribution of the state is Gaussian and derive an iterative method for updating the state posterior in the natural parameter space through KullbackLeibler divergence minimization. The obtained update rule is the same as that of the conjugate-computation variational inference technique in Bayesian learning. The derivation here is simpler and more insightful. We then impose a Wishart prior on the inverse of the state prediction covariance to take into account the impact of approximating the state predictive distribution using a Gaussian density on the state posterior estimation. The prediction covariance is identified jointly with the state using variational inference and the established state posterior update rule to achieve the desired Gaussian filtering. Simulation study examines the performance of the proposed filtering framework in target tracking based on bearing and range measurements. © 2024 ISIF.

关键词： Wiener filtering

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Comparison of Photovoltaic System Performance under Different Conditions 5

Comparison of Photovoltaic System Performance under Differen...

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

作者： Pavlik, Marek Kalinov, Andrii Technical University of Koice Department of Electric Power Engineering Koice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine

ISBN: (纸本)9798350359787

With increasing energy prices, greater attention is being directed towards alternative energy sources. Common households are increasingly adopting photovoltaic systems to reduce their electricity costs. However, many households are unaware that various situations can impact the production of solar energy. In this contribution, a research study was conducted where a small portion of the photovoltaic panel was shaded. The results demonstrate how even minor shading can affect the production of electrical energy from the photovoltaic panel. Additionally, it is important to realize that many photovoltaic systems consist of photovoltaic panels connected in series. This contribution highlights how a single damaged or shaded photovoltaic panel can influence the production of other photovoltaic panels in the series. © 2023 IEEE.

关键词： Photoelectrochemical cells

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Predictive Norm Optimal Iterative Learning control for High-performance Formation control Problem 63

Predictive Norm Optimal Iterative Learning Control for High-...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhang, Yueqing Chen, Bin University of Southampton Faculty of Engineering and Physical Sciences SouthamptonSO17 1BJ United Kingdom University of Sheffield Department of Automatic Control and Systems Engineering SheffieldS10 2TN United Kingdom

ISBN: (纸本)9798350316339

This paper develops a predictive optimisationbased iterative learning control (ILC) strategy for the highperformance formation control problem in networked dynamical systems working repetitively. It avoids the need for exact model information in traditional methods and achieves high performance via a predictive framework incorporating a unique performance index that integrates both immediate and future performance. The proposed framework guarantees geometric convergence of the formation error norm to zero and is capable of handling both heterogeneous and non-minimum phase systems. A distributed implementation of the framework is developed using the Alternating Direction Method of Multipliers to guarantee the framework's scalability for largescale networks. Rigorous convergence analysis and numerical examples are provided to confirm its effectiveness. © 2024 IEEE.

关键词： Predictive control systems

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Fuzzy Comprehensive Evaluation based NLOS Identification for UWB Indoor Positioning

Fuzzy Comprehensive Evaluation based NLOS Identification for...

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2024 Mid-term Symposium on Spatial Information to Empower the Metaverse

作者： Li, Jinkun Xiu, Chundi Wang, Feng Selezneva, Maria S. Yang, Dongkai Department of Electronic and Information Engineering Beihang University Beijing100191 China International Innovation Institute Beihang University Hangzhou311115 China Department of Automatic Control Systems Bauman Moscow State Technical University Russia

Ultra-wideband (UWB) positioning technology stands out from many indoor positioning technologies with its advantages of high precision. However, non-line-of-sight (NLOS) propagate leads to heavy range error and reduces position accuracy, this paper proposes a NLOS identification method based on channel impulse response (CIR), which includes three stages. Firstly, CIR based feature selection is carried out, which includes correlation analysis of calculated features. Secondly, fuzzy comprehensive evaluation model is introduced to NLOS identification. Finally, time of arrival (TOA) based location estimation is realized after NLOS ranging error mitigation. Simulation results show that the average identification rate of NLOS can exceed 86%, and the average positioning error can be reduced by about 0.5m. © Author(s) 2024.

关键词： Ultra-wideband (UWB)

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Real-time Tiredness Detection System using Nvidia Jetson Nano and OpenCV

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Procedia Computer Science 2024年 242卷 536-543页

作者： Nicolae Florian Dumitru Popescu Andrei Hossu Department of Automatic Control and Systems Engineering University Politehnica Bucuresti Bucharest 060042 Romania Academy of Romanian Scientists Romania

In this paper, we explore how to use a Nvidia Jetson Nano and Python to create a system that detects weariness in a person’s face using computer vision and machine learning techniques. The system captures the person’s face in real time, preprocesses the picture to cut noise, then detects the face using Haar cascades. Next, using computer vision algorithms, characteristics associated with weariness, such as the eyes, are retrieved. These characteristics are then used to build a machine learning model that can predict weariness in the live stream feed. Lastly, using a graphical user interface, the findings are shown, and the system may be fine-tuned to increase accuracy. This device might be used in applications such as driver monitoring and traffic safety.

关键词： Neural Network Machine Learning Computer Vision Driver Monitoring

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Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization 63

Real-time Pricing Mechanism for V2G Using Distributed Bileve...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： You, Jiawei Dai, Xinliang Jiang, Yuning Yin, Haoyu Shi, Yuanming Jones, Colin N. ShanghaiTech University School of Information Science and Technology China Epfl Switzerland Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Germany Epfl Automatic Control Laboratory Switzerland Washington University in St. Louis Department of Electrical and Systems Engineering United States

ISBN: (纸本)9798350316339

This paper explores the impact of the burgeoning electric vehicle (EV) presence on distribution grid operations, highlighting the challenges they present to conventional pricing strategies due to their dual role as power consumers and suppliers, coupled with their energy storage capabilities. We propose an advanced real-time pricing model for the electricity market, employing a novel distributed bilevel optimization framework. This framework distinguishes between the distribution system operator (DSO) at the upper level and the EVs at the lower level, each aiming to optimize profit margins. The optimization includes power flow constraints at the upper level to ensure efficient operation within safe system limits, while model predictive control (MPC) is used to optimize lower-level EV responses. Additionally, we provide a rigorous convergence analysis of the proposed bilevel optimization method. Detailed convergence studies and simulation results demonstrate the effectiveness and superiority of the proposed algorithm. © 2024 IEEE.

关键词： Predictive control systems

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