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6th International Conference on Information Technologies in engineering Education, Inforino 2022

作者： Shvetcov, Anatoliy Gorbunov, Vyacheslav Dianov, Sergey Sukonschikov, Alexey Rapakov, George Kinyakin, Kyril Vologda State University Department of Automation and Computer Engineering Vologda Russia

ISBN: (纸本)9781665405775

This article is devoted to the usage of anthropomorphic robot NAO Evolution in teaching process of bachelors and masters at automation and computer engineering department of Vologda State University. The paper discusses the content and implementation of software system of the dialogue man-robot on natural Russian language using the software package Choreography and dialogue creation tool QIChat. Fragments of software modules that implement the developed features are given. © 2022 IEEE.

关键词： Knowledge engineering Software packages Software algorithms Natural languages Software systems Teamwork Information technology

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery 20

Unscented Kalman Filter for State of Charge Estimation of Li...

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20th International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Dardchuntuk, Joshua Chun-Ken Banjerdpongchai, David Faculty of Engineering Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Pathumwan 254 Phayathai Road Bangkok10330 Thailand

ISBN: (纸本)9798350310467

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO's electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems. © 2023 IEEE.

关键词： Battery management systems

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A comparison study between Modbus and IEC 61850 MMS Protocols 33

A comparison study between Modbus and IEC 61850 MMS Protocol...

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33rd Southern African Universities Power engineering Conference, SAUPEC 2025

作者： Johnson, Rayner Krishnamurthy, Senthil Mataifa, Haltor Esmail, Mohammed Cape Peninsula University of Technology Center for Substation Automation and Energy Management Systems Department of Electrical Electronic and Computer Engineering Cape Town7530 South Africa

ISBN: (纸本)9798331535162

The growing adoption of renewable energy primary plants has been seen globally. South Africa has seen a significant development in utility-scale photovoltaic (PV) farms in recent years due to the alleviated regulations stipulated in the latest Electricity Regulation Amendment Act. Connecting the PV plants to the power grid has also undergone a technical evolution by incorporating modern embedded computers known as Intelligent Electronic Devices (IEDs). The International Electrotechnical Committee (IEC) 61850 standard defines a suite of protocols used in modern power systems. This study compares the IEC 61850 Manufacturing Messaging Specification (MMS) with the well-known MODBUS protocol. The comparison is achieved by simulating a solar farm's Power Plant controller (PPC). © 2025 IEEE.

关键词： Solar power plants

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Predicting of Photovoltaic Power Generation Using Similarity-Based Forecasting Models 24

Predicting of Photovoltaic Power Generation Using Similarity...

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24th International Middle East Power System Conference, MEPCON 2023

作者： Aboelmagd, Mohamed R. Selim, Ali Abdel-Akher, Mamdouh Aswan University Electrical Engineering Dept Aswan Egypt Almaaqal University Control and Computer Engineering Dept Basra Iraq Aswan University Faculty of Engineering Department of Electrical Engineering Aswan Egypt

ISBN: (纸本)9798350358469

Accurate forecasting in photovoltaic energy is one of the most essential integrated and influential events for managing the system of new and renewable energy sources in the power grid. The paper presents a practical approach using neural networks to predict photovoltaic energy generation. Applying neural networks in PV power generation forecasting is challenging due to unpredictable environmental changes such as solar radiation, temperature, humidity, wind speed, etc. Neural network methods are distinguished by achieving high performance in prediction compared to traditional mathematical models that have difficulties dealing with complex nonlinear relationships, resulting in substandard prediction. The proposed neural network-based forecasting model offers an effective way to improve the precision of estimating PV generation. It has a great deal of promise to enhance the integration and dependability of solar energy in the current electricity landscape because of its capacity to capture complex linkages in the data and adapt to changing circumstances. © 2023 IEEE.

关键词： Forecasting

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An analysis towards integrated control of wastewater collecting and treatment systems 27

An analysis towards integrated control of wastewater collect...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Vasiliev, Iulian Luca, Laurentiu Barbu, Marian Vilanova, Ramon Caraman, Sergiu Department of Automation and Electrical Engineering Dunărea de Jos University of Galati Galati Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain

ISBN: (纸本)9798350337983

This paper deals with an analysis regarding the effect of Sewer Network operation on the performances of the integrated wastewater collecting and treatment system. The analysis is done by considering various control actions for the output storage tank of the sewer network, comparing a series of performance indicators defined for both subsystems with their "no control" value. Two cases have been considered regarding the control actions for the output storage tank of the sewer network: 1. keeping the output valve at a constant opening and 2. keeping the output valve at the maximum opening possible such as the outflow is limited to a constant value. While the second case did not prove advantageous, the first one showed that lowering the sewer network output valve opening would improve the integrated system performances. © 2023 IEEE.

关键词： Wastewater treatment

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Attack Stealthiness and Detection of Multiagent Systems: A Zero-Sum Formulation 63

Attack Stealthiness and Detection of Multiagent Systems: A Z...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhu, Shiyong Wang, Miaomiao Chen, Jie Rantzer, Anders City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Lund University Department of Automatic Control Lund Sweden

ISBN: (纸本)9798350316339

Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a somewhat basic prototype of cyberphysical systems. We study false data injection attacks launched on the agent sensors, and possible defense of such attacks at the agent actuators. The primary issue under consideration is the stealthiness of the attacks, while steering a multiagent system away from its consensual state. We propose a metric to quantify the stealthiness, and formulate the stealthiness problem as one of zero-sum games. We solve the problem explicitly, which gives rise to a fundamental bound on the stealthiness achievable, and as well optimal attack and defense strategies that achieve the optimal stealthiness, both of which can be obtained in terms of certain augmented controllability Gramians associated with the agents. The stealthiness bound is seen to depend on agent dynamics and network characteristics including a measure of connectivity. © 2024 IEEE.

关键词： Cyber attacks

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Computing Technology Acoustic Inversion engineering Seismic Data and Its Application for Construction Purposes 16

Computing Technology Acoustic Inversion Engineering Seismic ...

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16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument engineering, APEIE 2023

作者： Goshko, Elena Yu. Zerkal, Sergey M. Ivanov, Sergey S. Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia Department of Computer Science Siberian University of Consumer Cooperation Novosibirsk Russia

ISBN: (纸本)9798350330885

The Shallow-depth engineering seismic studies are carried out in the upper part of the geological section, which is characterized by sharp vertical and horizontal variability of the physical properties of rocks. Additional difficulties in observing and recording caused by seismic vibrations of the soil are associated with the influence of unavoidable interference: ground (wind, sound noise), geological interference (noise of rock cracking during unloading of tectonic stress), man-made interference (the influence of power lines on signal reception, trembling of the soil during the work of construction or quarry mechanisms, cars, trains). The allocation of a useful signal against the background of interference requires the organization of seismic work with repeated repetition of excitations - the accumulation of signals, as well as the development of special computational algorithms and the use of new technologies for processing engineering seismic data. The article considers a computational algorithm of acoustic inversion, which transforms a wave seismic section into a discrete section of pulsed reactions of the medium - effective reflection coefficients. It has a compact discrete appearance and is easier for visual observation and further physico-geological interpretation. The computer technology of application of the acoustic inversion algorithm is implemented. The application of this technology to real engineering seismic data obtained on the territory of the construction of a high-rise building made it possible to determine the parameters of the geological foundation lying under the ground surface of the construction site, namely: the depth of occurrence, relief, areas of increased disintegration. The established properties of the geological foundation are necessary for the analysis of the strength and stability of soils during the construction and operation of a high-rise structure for its safety. © 2023 IEEE.

关键词： Foundations

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Machine Learning in Academic Performance Prediction: Analyzing Attendance and Marks to Forecast Future Results

Machine Learning in Academic Performance Prediction: Analyzi...

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2024 IEEE International Conference on Computing, Semiconductor, Mechatronics, Intelligent Systems and Communications, COSMIC 2024

作者： Kanmani Divakar, Divyesh Keshaveni, N. Ramesh, E. Prathibha, M. Canara Engineering College Mangaluru Visvesvaraya Technological University Department of Artificial Intelligence and Machine Learning Belagavi India Mangaluru Visvesvaraya Technological University Department of Robotics & Automation Engineering SCEM Belagavi India Canara Engineering College Mangaluru Visvesvaraya Technological University Department of Electronics & Communication Engineering Belagavi India Canara Engineering College Mangaluru Visvesvaraya Technological University Department of Computer Science and Engineering Belagavi India

ISBN: (数字)9798331517892

ISBN: (纸本)9798331517892

In the realm of higher education, predicting student performance is crucial for enhancing educational outcomes and institutional efficiency. This project aims to develop a predictive model to forecast students upcoming semester performance based on their past academic records and attendance. This paper makes use of machine learning regression techniques, including Random Forest, Gradient Boosting, and Voting Regressor, to analyze students' scores and attendance data. The dataset comprises marks and attendance records for analytical, theoretical, and practical subjects, with target grades categorized into seven classes: A+, A, B+, B, C, P and F. To evaluate model performance, continuous predictions were discretized into these grade categories, allowing for the calculation of Precision, Recall, F1-Score, and the generation of confusion matrices. The results indicate the efficacy of different models in accurately predicting student grades. Visualizations such as bar charts and heatmaps were used to present and compare the performance metrics across various models and subject types. The insights from this project are expected to assist educators in identifying at-risk students and improving educational strategies, ultimately contributing to enhanced student success and institutional reputation. © 2024 IEEE.

关键词： Prediction models

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automation 5.0: The Key to Systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

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Design of a Mechatronic Endoskeleton Robot for Inspection Tasks: Model Reference Adaptive control (MRAC) for Serpentine Locomotion with Stability Analysis 17

Design of a Mechatronic Endoskeleton Robot for Inspection Ta...

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17th International Conference on Developments in eSystems engineering, DeSE 2024

作者： Al Mhdawi, Ammar K. Wright, Nick Younis, Mohammed I. Humaidi, Amjad J. School of Engineering and Sustainable Development De Montfort University LeicesterLE19BH United Kingdom Department of Electrical and Electronic Engineering Newcastle University Newcastle United Kingdom Department of Computer Engineering University of Baghdad Iraq Department of Control and Systems Engineering University of Technology Baghdad Iraq

ISBN: (纸本)9798350368697

An advantage of bio-inspired robots is the versatility of their locomotion on a wide range of terrains that conventional robots are not able to traverse. The snake-like robot, which is a mechanism designed to move in the manner of a biological snake, is an example of a bio-inspired platform. This paper aims to implement and validate, using real and simulation tests on flat terrain, a snake-like endoskeleton robot that permits serpentine movement with adaptive control capabilities. The prototype mechatronic robot was comprised of eleven segments that were 3D printed sequentially. A simulation using Matlab’s Multibody Mechanics tool determines the necessary torques for each motor. In this simulation, a parameterized virtual model of the robot is created, where rectilinear gaits are programmed. In accordance with simulation and experimental results, the robot undertakes different times to reach the goal trajectory or end points depending on the frequency, angular position, and wave length (duty cycle). As a result, there is a high degree of similarity between the simulation tests and those conducted with the prototype endoskeleton. Furthermore, the robot is equipped with machine vision capabilities that allow it to detect faults within oil and gas pipes for the purpose of inspection and maintenance. Furthermore, a Model Reference Adaptive control (MRAC) method based on Lyapunov stability analysis and MIT rules is proposed. The theoretical analysis and numerical simulation show that the designed trajectory tracking control law can make the multi-joint snake-like robot track the trajectory of the front joint when the robot encounters disturbances and stabilize the angular position and velocity of the first two head joints when disturbances occur. © 2024 IEEE.

关键词： Model reference adaptive control

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