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International Conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2024

作者： Hattabi, Intissar Kheldoun, Aissa Bradai, Rafik Khettab, Soufian SET Laboratory Blida 1 University Faculty of Technology Electrical and Control Department Blida Algeria Laboratory of Signals and Systems Institute of Electrical and Electronic Engineering University M’hamed Bougara Boumerdes35000 Algeria LATSI Blida 1 University Faculty of Technology Electronics Department Blida09000 Algeria

ISBN: (纸本)9783031803000

In this study, we explore the enhancement of stability in a four-machine power system through the optimized tuning of Tilt-Integral-Derivative Power System Stabilizer (TID-PSS) parameters. We introduce a novel application of the Dandelion Optimizer (DO) algorithm, designed to provide robust damping and stability under fault conditions. To improve the effectiveness of the DO algorithm, we compare its performance with several established optimization techniques, including Particle Swarm Optimization (PSO), HGS (Hunger Games Search), HBA (Honey Badger Algorithm), EO (Equilibrium Optimizer), and AVOA (African Vulture Optimization algorithm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Particle swarm optimization (PSO)

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A Review of Manufacturing Technologies of Soft Magnetic Composites for Electric Machines 5

A Review of Manufacturing Technologies of Soft Magnetic Comp...

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

作者： Manko, Roman Dmytro, Rieznik Vukotic, Mario Rupnik, Urban Miljavec, Damijan Corovic, Selma University of Ljubljana Faculty of Electrical Engineering Ljubljana Slovenia Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine

ISBN: (纸本)9798350359787

In this article the review of the existing manufacturing technologies of the soft magnetic materials have been performed. The existing technological protocols for production of the electrically insulated powders and their further treatment towards manufacturing of the soft magnetic materials are provided. The influences of different technological processes on the mechanical, electrical and magnetic properties of the resulting soft magnetic materials have been reviewed and described. Finally, the usage and implementation of the soft magnetic composites in the field of electric motor design have been discussed. © 2023 IEEE.

关键词： Electric motors

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Fuzzy control of Autonomous Vehicle at Non-signalized Intersection in Mixed Traffic Flow 9

Fuzzy Control of Autonomous Vehicle at Non-signalized Inters...

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9th Iranian Joint Congress on Fuzzy and Intelligent systems, CFIS 2022

作者： Hajyan, Matine Nikoofard, Amirhossein K.N. Toosi University of Technology Department of Control and Systems Faculty of Electrical Engineering Tehran Iran

ISBN: (纸本)9781665478724

This paper presents a control design methodology for autonomous vehicles at urban intersections based on fuzzy logic in mixed traffic flow. We have assumed there is no cooperation between an autonomous vehicle and the human-driven vehicle for passing the intersection. The autonomous vehicle is responsible for speed adaptation to prevent potential collisions using the fuzzy controller to guarantee a safe intersection crossing maneuver according to the human-driven vehicle position. We have also proposed MPC and PID controllers to simulate path tracking and evaluated both speed and turn controllers at the same time and results of these simulations show positive effects of AV in intersection control and according to RMSE results MPC controller performs effectively better than PID in path tracking. © 2022 IEEE.

关键词： Fuzzy control

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Data-Driven Optimized Load Forecasting: An LSTM Based RNN Approach for Smart Grids

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IEEE Access 2025年 13卷 99018-99031页

作者： Majeed, Muhammad Asghar Phichaisawat, Sotdhipong Asghar, Furqan Hussan, Umair Chulalongkorn University Faculty of Engineering Department of Electrical Engineering Pathumwan Bangkok 10330 Thailand University of Agriculture Faculty of Agricultural Engineering and Technology Department of Energy Systems Engineering Faisalabad 38000 Pakistan Shenzhen University College of Mechatronics and Control Engineering Shenzhen 518000 China

Accurate load forecasting is essential for ensuring the stability and efficiency of modern power systems, particularly in the context of increasing renewable energy integration. This study proposes an advanced forecasting approach using Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM) to enhance electricity demand prediction. The research analyzes key temporal patterns in historical load, renewable energy generation, and weather data to improve forecasting precision. RNN-based LSTM, with its gated memory structure, effectively captures long-term dependencies and mitigates vanishing gradient issues, making it highly suitable for modeling complex time-series data in power systems. Its ability to retain crucial past information across extended sequences enables precise load forecasting, even in the presence of fluctuations and intermittent renewable energy sources. To validate the effectiveness of the proposed technique, the model was implemented and tested using MATLAB/Simulink, ensuring realistic simulation of power system dynamics. Through a comprehensive comparative analysis, RNN-LSTM is found to exhibit superior predictive accuracy, achieving the lowest RMSE (2.2889), MAE (1.1041), and MAPE (1.538%), while also demonstrating faster convergence, lower inference time, and higher stability. Furthermore, LSTM demonstrates superior convergence speed, lower inference time (0.00098 s), and high stability (0.9091), which confirms its robustness. Compared to other deep learning techniques such as GRU, standard RNN, and CNN, RNN-LSTM outperforms in capturing long-range dependencies and learning from temporal patterns effectively. The convergence analysis further confirms the robustness of RNN-LSTM, making it the most suitable model for dynamic and complex power system environments. These findings underscore the significance of RNN-based LSTM in enhancing load forecasting reliability, ultimately contributing to improved grid stability, energy management, an

关键词： convolutional neural networks gated recurrent units load forecasting long short-term memory Recurrent neural networks temporal dependency modeling

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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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A Literature Review on Chewing Simulation and Wear Mechanisms of Dental Biomaterials

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Journal of Bio- and Tribo-Corrosion 2021年第3期7卷 1-10页

作者： Yilmaz, Efe Çetin Sadeler, Recep Kilis 7 Aralık University Engineering and Architecture Faculty Department of Control Systems Electrical and Electronic Engineering Kilis Turkey Engineering Faculty Department of Mechanical Engineering Ataturk University Erzurum Turkey

The purpose of this review is to highlight some recent advances in our understanding of chewing simulation tests and wear mechanisms and how they contribute to material failures in the complex oral environment. Within in this study scope, as intraoral wear parameters;chewing force, tooth sliding distance, thermal change, food abrasiveness, saliva lubrication, and behavior of antagonist materials were investigated. In addition to the characteristics of chewing simulators that can simulate the intraoral tribological process in a laboratory environment have been investigated. It is a complex process to simulate the environment that a biomaterial placed in the human body is exposed to in a laboratory environment. Therefore, it is of great importance that the parameters applied in the wear test mechanisms carried out in the laboratory environment can simulate the behavior of living tissue. Additionally, both fatigue and abrasion loads of composite restorations can be important in achieving poor mechanical behavior, which is the leading cause of composite restoration failures. Overall, understanding the connectivity of all two procedures, while developing a mechanical definition of fatigue, wear mechanisms, are seen as key keys to successfully using in vitro studies to predict in vivo results and develop improved dental restorative materials. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Restoration

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Robust Synchronization of Uncertain Physically Coupled Heterogeneous Linear Agents 63

Robust Synchronization of Uncertain Physically Coupled Heter...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Namba, Takumi Ahmed, Saeed Takaba, Kiyotsugu Ritsumeikan University Department of Electrical and Electronic Engineering 1-1-1 Noji-Higashi Shiga Kusatsu Japan University of Groningen Jan C. Willems Center for Systems and Control Enteg Faculty of Science and Engineering Groningen9747AG Netherlands

ISBN: (纸本)9798350316339

control of multi-agent systems with physical couplings is motivated by their engineering applications, such as multiple mass-spring-damper systems, power grids, etc., in which each agent not only has information communication but also physical interactions with its neighboring agents. This paper studies robust synchronization problem for uncertain linear agents with physical couplings. We consider the situation where the heterogeneity in agent models is viewed as a memoryless and time-varying parametric uncertainty and where the physical coupling is also considered to be uncertain but norm bounded. Notably, considering these physical couplings to be uncertain makes the robust synchronization problem much more challenging compared to the physically decoupled case. In fact, unlike physically decoupled cases, it is generally difficult to analytically derive synchronization conditions for controller synthesis even if the agents are homogeneous. To this end, we employ a scaled small-gain approach to derive a robust synchronization condition for controller synthesis in terms of linear matrix inequalities. © 2024 IEEE.

关键词： Synchronization

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Reconnaissance Robot for Rescue Services 14

Reconnaissance Robot for Rescue Services

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14th International Conference ELEKTRO, ELEKTRO 2022

作者： Bujnak, Marek Pirnik, Rastislav Kuchar, Pavol Kanalikova, Alzbeta University of Žilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Žilina010 26 Slovakia

ISBN: (纸本)9781665467261

The spherical robots are becoming very popular in the field for many scientists and researchers working with surveillance, military, or transportation systems. This paper deals with comparing of each driving mechanism of the spherical robot. The vast majority of spherical robots only have inertial sensors, which they use for movement, positioning, travel balancing, etc. Few spherical robots can interact with the environment. Those who can do this have sensors that can measure the properties of the environment or can influence the environment in some way. The article also deals with the possibility to use sensors like cameras, gas sensors, thermocouples, and LiDARs. Data from these sensors will be processed using artificial intelligence techniques to detect anomalies in the environments. Chosen sensors can expand a robot's sensing capabilities which are usually very narrow. The aim of the article is to design s special type of spherical robot. If we join all these components together we can create a reconnaissance spherical robot for rescue services special designated for tunnels or closed *** prototype is a financially inexpensive robot, which is also suitable for the teaching process, as an element that collects data from the environment (sensors, video, etc.), which will be used for working with AI tools. © 2022 IEEE.

关键词： Robots

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The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1313-1316页

作者： Tianyu Shen Jinlin Sun Shihan Kong Yutong Wang Juanjuan Li Xuan Li Fei-Yue Wang College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Peng Cheng Laboratory Shenzhen 518000China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

THE tremendous impact of large models represented by ChatGPT[1]-[3]makes it necessary to con-sider the practical applications of such models[4].However,for an artificial intelligence(AI)to truly evolve,it needs to possess a physical“body”to transition from the virtual world to the real world and evolve through interaction with the real *** this context,“embodied intelligence”has sparked a new wave of research and technology,leading AI beyond the digital realm into a new paradigm that can actively act and perceive in a physical environment through tangible entities such as robots and automated devices[5].

关键词： Intelligence DAO TAO

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Optimal Design and Tuning of Novel Fractional Order Fuzzy PID Power System Stabilizer for SMIB Power System Using African Vulture Optimization Algorithm 12

Optimal Design and Tuning of Novel Fractional Order Fuzzy PI...

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2024 12th International Conference on systems and control, ICSC 2024

作者： Hattabi, Intissar Kheldoun, Aissa Bradai, Rafik Khettab, Soufiane Blida 1 University SET Laboratory Faculty of Technology Electrical and control Department Blida09000 Algeria Institute of Electrical and Electronic Engineering University M'hamed Bougara Laboratory of Signals & Systems Boumerdes35000 Algeria Blida 1 University LATSI Faculty of Technology Electronics Department Blida09000 Algeria

ISBN: (纸本)9798331531812

This paper presents PSS (Power system stabilizer) design based on fractional order fuzzy PID (FOFPID). The proposed PSS architecture design is considered for single-machine infinite bus power system. The primary goal of this design is to reduce or stabilize low-frequency oscillation in power systems. Initially, talking about fractional PID control. Next, combining it with a fuzzy logic controller. The African vulture optimization algorithm (AVOA) is then used to fine-tune the FOFPID parameters (Ke,Kd,KPI,KPD,μ,λ) in order to achieve the best possible global stability. The findings of the simulation validate that the system is effective in improving the stability of the generator connected to the infinite power supply. © 2024 IEEE.

关键词： Three term control systems

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