Studies in Informatics and Control最新文献_第6页

PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface 基于Arduino板和MATLAB接口的基于特性阻抗的PV表征和MPPT

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202309

M. Boussaada, Riadh Abdelati, Hajer Lahdhiri, H. Yahia

{"title":"PV Characterization and MPPT Based on Characteristic Impedance Using Arduino Board and MATLAB Interface","authors":"M. Boussaada, Riadh Abdelati, Hajer Lahdhiri, H. Yahia","doi":"10.24846/v32i1y202309","DOIUrl":"https://doi.org/10.24846/v32i1y202309","url":null,"abstract":": Photo-Voltaic (PV) panels, whose maximal point is called the Maximum Power Point (MPP), provide extracted electrical power. In order to effectively exploit the PV System (PVS), they must be operated within the limits of this point. Later, it depends on the impedance of the connected load and on the Characteristic Impedance of the PV (CIPV) panel that varies with different climatic conditions. In a well-matched system, the load impedance is close to the CIPV and it operates normally at the MPP (via direct connection). Otherwise, coupling is fairly poor. The load impedance is different from the CIPV and, therefore, it requires the inclusion of MPP Tracking (MPPT) and a DC/DC converter as an adaptive load. In this paper, a new MPPT method based on CIPV matching is proposed. The algorithm structure is simple and easy to implement. This study focuses on how the PVS, tested and evaluated under varying load and climatic conditions, operates with the proposed MPPT controller. The present approach is characterized by a stable oscillation, with a slight fluctuation around the MPP. The controller integrates a variable step-size control and provides a rapid and precise convergence to the MPP. The simulation and experimental results prove the efficiency of the proposed method.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44973534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Fictitious Reference Iterative Tuning of Discrete-Time Model-Free Control for Tower Crane Systems 塔式起重机系统离散时间无模型控制的虚拟参考迭代整定

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202301

Raul-Cristian Roman, R. Precup, E. Petriu, Mihai Muntyan

引用次数: 6

ANN Optimized Hybrid Energy Management Control System for Electric Vehicles 基于神经网络优化的电动汽车混合能源管理控制系统

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202310

Venkatesan Mani, S. Yarlagadda, Srikanth Ravipati, Subashkumar CHELLAPPAN SWARNAMMA

引用次数: 0

An Improved Vehicle Trajectory Prediction Model Based on Video Generation 基于视频生成的改进车辆轨迹预测模型

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202303

David-Traian Iancu, A. Florea

引用次数: 1

Robust Direct Current Control of Single-Phase PWM Rectifiers Based on a Mixed H2/H∞ Controller 基于混合H2/H∞控制器的单相PWM整流器的鲁棒直流控制

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202308

M. Ibrahim, Lei Ma, Yiming Zhao, Haoran Liu

{"title":"Robust Direct Current Control of Single-Phase PWM Rectifiers Based on a Mixed H2/H∞ Controller","authors":"M. Ibrahim, Lei Ma, Yiming Zhao, Haoran Liu","doi":"10.24846/v32i1y202308","DOIUrl":"https://doi.org/10.24846/v32i1y202308","url":null,"abstract":": Robustness for single-phase pulse-width modulation (PWM) rectifiers which are employed for electric locomotives is essential since a train works in a dynamic environment where faults such as parameter perturbations and measurement errors often occur. These faults may lead to a subsequent failure and damage of costly components; thus, robust control is highly recommended. Apart from the robustness of a rectifier, its dynamic performance should also be considered. This paper presents the implementation of a direct current control (DCC)-based mixed H 2 /H ∞ controller for single-phase PWM rectifiers with the purpose of achieving robustness and a decent dynamic response in the presence of inductance variation, where settling time and percentage overshoot can be addressed by means of the pole placement method. In addition, the v-gap metric has been used as a tool for estimating robust stability. The proposed controller is compared with the direct current control-based H ∞ mixed sensitivity controller (DCC-H ∞ MS controller). The experiment results demonstrate that the proposed controller has a good dynamic performance against parametric uncertainties.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43430653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Еlectricity Consumption Prediction Model for Improving Energy Efficiency Based on Artificial Neural Networks Еlectricity基于人工神经网络的能效提升能耗预测模型

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202307

D. Knežević, M. Blagojevic, A. Ranković

{"title":"Еlectricity Consumption Prediction Model for Improving Energy Efficiency Based on Artificial Neural Networks","authors":"D. Knežević, M. Blagojevic, A. Ranković","doi":"10.24846/v32i1y202307","DOIUrl":"https://doi.org/10.24846/v32i1y202307","url":null,"abstract":": Continuous population growth is causing an increasing electricity demand. In order to provide enough electricity, it should be possible to predict the prospective consumption. This is especially important nowadays, when energy-saving measures aimed at improving the energy efficiency of all energy sources, especially electrical ones, are gaining importance. Neural networks play an important role in predicting electricity consumption. This paper aims to provide the neural network architecture that will facilitate the prediction of the monthly consumption of different types of consumers with a minimum error. The proposed model is based on two uncommon types of layers, and its reliability is tested on a real dataset related to the electricity consumption of all consumers on the territory of the City of Užice in Serbia. To ensure that more precise results are obtained, this paper also sets forth another approach involving the dataset partitioning into meaningful units (subclusters) before applying the proposed model to them. Finally, the architecture of the Electricity Consumption Prediction System (ECPS) is presented, as an interactive GUI intended for the end user. The dataset employed for training the implemented models contains the consumption data collected over a period of three years, whereas the test set contains data from the fourth year, which corresponds to the actual conditions in which the application will be used.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42092983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Digital Transformation Impact on Organization Management and Several Necessary Protective Actions 数字化转型对组织管理的影响及若干必要的保护措施

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202305

D. Banciu, A. Vevera, I. Popa

引用次数: 2

Encrypted Data Learning and Prediction Using a BFV-based Cryptographic Convolutional Neural Network 基于BFV的加密卷积神经网络的加密数据学习与预测

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202304

W. Pan, Zepei Sun, Huanyu Sang, Zihao WANG

{"title":"Encrypted Data Learning and Prediction Using a BFV-based Cryptographic Convolutional Neural Network","authors":"W. Pan, Zepei Sun, Huanyu Sang, Zihao WANG","doi":"10.24846/v32i1y202304","DOIUrl":"https://doi.org/10.24846/v32i1y202304","url":null,"abstract":": Machine learning services are widely used for big data, cloud computing, and distributed artificial intelligence applications. Multiple parties participating in the provision of these services may access the users’ sensitive data because most machine learning models use and share plaintext directly. Therefore, it is necessary to utilize cryptographic mechanisms for protecting user privacy. Homomorphic encryption provides an important information security guarantee for machine learning models. However, the complexity of fully homomorphic encryption increases with the depth of neural networks. Especially with the increase in the number of ciphertext multiplications, the time and space costs will also raise exponentially. Using homomorphic encryption in order to protect the model and data security while ensuring the computational efficiency of the employed model over encrypted data is a challenging problem. This paper proposes a BFV-based cryptographic low-latency convolutional neural network (CLOL-CNN) for solving this problem. This new network model performs deep learning and prediction over encrypted data instead of sharing plaintext data. A series of optimization operations are elaborately presented and implemented, such as cryptographic batch normalization, polynomial approximation, cryptographic convolution, and full cryptographic connection. The performance of the proposed model is evaluated with regard to its accuracy and computational overhead obtained by employing deep learning for homomorphically encrypted data. The experiments were conducted on a MNIST image dataset. The obtained results demonstrated that the proposed model has a higher accuracy and a lower time cost than other models and that it is an effective privacy-preserving deep neural network.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42343985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recent Metaheuristic-Based Optimization for System Modeling and PID Controllers Tuning 最近基于元启发式的系统建模和PID控制器优化

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202306

Majid Fayti, Mostafa Mjahed, Hasan Ayad, Abdeljalil El Kari

{"title":"Recent Metaheuristic-Based Optimization for System Modeling and PID Controllers Tuning","authors":"Majid Fayti, Mostafa Mjahed, Hasan Ayad, Abdeljalil El Kari","doi":"10.24846/v32i1y202306","DOIUrl":"https://doi.org/10.24846/v32i1y202306","url":null,"abstract":": Recently, several methods and techniques, including the metaheuristic algorithms, have been developed, to identify and control systems. In this paper, four recent algorithms, such as Ant Lion optimizer (ALO), Differential Evolution (DE), Bat Algorithm (BA), and Harmony Search (HS), are chosen and considered for a one-paper comparison for the first time and exclusively applied to four different types of behaviors. The present contribution concerns the systematic analysis and comparison between the mentioned algorithms for the two tasks of system modeling and for the tuning of proportional, integral, and derivative (PID) controllers. Comparisons with conventional methods, such as Least Squares (LS) for identification and Reference Model (RM) for control, are made with different instructions to highlight the efficiency of this methods Further, the details on their performance metrics in terms of premature convergence and dynamic searches are provided. Simulations results demonstrate how accurately they help to obtain optimal solutions and show the most reliable method for the two main tasks of control and identification. Moreover, the present results confirm that the Differential Evolution strategy has the best performance, stable convergence feature, robustness, and insensitivity to disturbance and signal excitation .","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44656586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Autocratic Strategy for Multi-attribute Group Decision Making Based on Neutrosophic Triplets: A Case Study in Prioritizing Recreation Areas in the Tourist Industries 基于Neutrosopheric Triplets的多属性群决策的自治策略——以旅游业休闲区优先排序为例

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2023-03-07 DOI: 10.24846/v32i1y202302

Kuo-Wei Lee

{"title":"An Autocratic Strategy for Multi-attribute Group Decision Making Based on Neutrosophic Triplets: A Case Study in Prioritizing Recreation Areas in the Tourist Industries","authors":"Kuo-Wei Lee","doi":"10.24846/v32i1y202302","DOIUrl":"https://doi.org/10.24846/v32i1y202302","url":null,"abstract":": Multi-attribute decision making (MADM) as a component of decision science is a significant and essential aspect of engineering planning that may be utilized in a variety of contexts. Due to the complexity of real-life systems, decision-makers (DMs) may encounter several uncertainties throughout the decision-making process. Neutrosophic theory, a generalization of fuzzy set theory and intuitionistic fuzzy set theory, is an efficient tool for dealing with inconsistent, imprecise, and vague values. This paper proposes an autocratic strategy for dealing with multi-attribute group decision-making problems under a neutrosophic environment. The transformation of multiple management decisions and weight matrices into a uniform aggregated assessment matrix is the core aspect of the proposed decision-making strategy. The tourism sector has a unique role on the market and contributes the most to a sustainable economic growth. Due to the picturesque surroundings that may include a green forest, hills, rivers, and marshes, people could often select such a location for relaxation purposes. Therefore, the goal of this paper is to make it possible to choose the best tourist destinations from a range of available options. The proposed method is utilized for prioritizing recreation areas in a tourist industry, where the evaluated values of the attributes for the selected alternatives and the weights of the respective attributes are represented by decision‐makers based on single‐valued neutrosophic triplets.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46871769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0