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2022 International Conference on Electrical Machines, ICEM 2022

作者： Uzunović, Tarik Montoya, Francisco G. Osmanović, Adnan Arrabal-Campos, Francisco M. Alcayde, Alfredo Eid, Ahmad H. Šabanović, Asif University of Sarajevo Faculty of Electrical Engineering Department of Automatic Control and Electronics Sarajevo71000 Bosnia and Herzegovina University of Almeria Engineering School Department of Engineering Almeria04120 Spain Port Said University Faculty of Engineering Port Said Egypt Faculty of Engineering and Natural Sciences International University of Sarajevo Academy of Sciences and Arts of Bosnia and Herzegovina Sarajevo71000 Bosnia and Herzegovina

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

This paper presents a combination of two methods that can be effectively combined for control of electrical machines. The first method enables real-time identification of electrical and mechanical parameters based on differential geometry and geometric algebra. The second method enables robust control of electrical machines, even when the knowledge about parameters is incomplete. In combination, the two methods open a path for successful control of electrical machines with unknown and/or time varying parameters. © 2022 IEEE.

关键词： Robust control

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A Quantitative Research to Determine User's Requirements for the Mind-controlled Prosthesis Arm Intelligent system 13

A Quantitative Research to Determine User's Requirements for...

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13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Ali, Haider Abdullah Goga, Nicolae Vasilateanu, Andrei Ali, Liwa Abdullah Abd-Almuhsen, Ghufran Saady Naji, Hasan K. University POLITEHNICA of Bucharest Faculty of Automatic Control and Computers Bucharest Romania Al-Emamain Al Kadhimain Medical City Department of Neurosurgery Baghdad Iraq Madenat Alelem University College Department of Computer Techniques Engineering Baghdad Iraq

ISBN: (纸本)9781665425346

Brain-Computer Interface (BCI) identifies user thinking through different electrophysiological signals. These signals are detected through electrodes placed on the scalp, and the neuronal activity of the cortical is collected by electrodes implanted inside the brain. Regardless of reasons, limbs losses affect a large percentage of the world's people yearly. The necessity for solutions for those having these conditions can be related to health issues and research. Myoelectric and other types of prostheses are currently in use, but it has some drawbacks like the high-price, heaviness, and the dependency on the intact nerves. These drawbacks can be overcome using electroencephalography (EEG) mind-controlled prosthesis arm. The mind-controlled prosthesis arm uses EEG non-invasive technique which provides powerful help for disabled persons in their daily activities, particularly to help arm amputees move their prosthesis arm easily. In this paper, we present a quantitative questionnaire to identify and validate the user's functional and non-functional requirements and to know how users want to interact with the system. We aim to build inexpensive, lightweight, and smart functional prosthesis arm according to functional and non-functional requirements to meet users' goals and requirements. The participants' interests and recommendations are considered while designing and building a smart functional prosthesis arm system. This is one of the very few surveys that handle the user's requirements of a mind-controlled prosthesis arm according to the amputees and specialists' opinions. © 2021 IEEE.

关键词： Electroencephalography

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Internet of things and Health Care in Pandemic COVID-19: system requirments evaluation 7

Internet of things and Health Care in Pandemic COVID-19: Sys...

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7th International engineering Conference "Research and Innovation Amid Global Pandemic", IEC 2021

作者： Naji, Hasan K. Goga, Nicolae Karkar, Ammar J. M. Marin, Iuliana Ali, Haider A. University Politehnica of Bucharest Doctoral School of Automatic Control and Computers Bucharest Romania University Politehnica of Bucharest Faculty of Engineering in Foreign Languages Bucharest Romania University of Kufa IT Research and Development Centre Electronic and Communication Engineering Department Najaf Iraq

ISBN: (纸本)9780738132501

Technology adoption in healthcare services has resulted in advancing care delivery services and improving the experiences of patients. This paper presents research that aims to find the important requirements for a remote monitoring system for patients with COVID-19. As this pandemic is growing more and more, there is a critical need for such systems. In this paper, the requirements and the value are determined for the proposed system, which integrates a smart bracelet that helps to signal patient vital signs. (376) participants completed the online quantitative survey. According to the study results, Most Healthcare Experts, (97.9%) stated that the automated wearable device is very useful, it plays an essential role in routine healthcare tasks (in early diagnosis, quarantine enforcement, and patient status monitoring), and it simplifies their routine healthcare activities. I addition, the main vital signs based on their expert opinion should include temperature (66% of participants) and oxygenation level (95% of participants). These findings are essential to any academic and industrial future efforts to develop these vital wearable systems. The future work will involve implementing the design based on the results of this study and use machine-learning algorithm to better detect the COVID-19 cases based on the monitoring of vital signs and symptoms. © 2021 IEEE.

关键词： COVID-19

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Deep Learning of Dynamic systems using system Identification Toolbox(TM)

arXiv

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arXiv 2024年

作者： Dai, Tianyu Aljanaideh, Khaled Chen, Rong Singh, Rajiv Stothert, Alec Ljung, Lennart MathWorks 1 Apple Hill Drive NatickMA01760 United States Aeronautical Engineering Department Faculty of Engineering Jordan University of Science and Technology Irbid Jordan Division of Automatic Control Department of Electrical Engineering Linkoping University Linkoping Sweden

MATLAB® releases over the last 3 years have witnessed a continuing growth in the dynamic modeling capabilities offered by the system Identification Toolbox™. The emphasis has been on integrating deep learning architectures and training techniques that facilitate the use of deep neural networks as building blocks of nonlinear models. The toolbox offers neural state-space models which can be extended with auto-encoding features that are particularly suited for reduced-order modeling of large systems. The toolbox contains several other enhancements that deepen its integration with the state-of-art machine learning techniques, leverage auto-differentiation features for state estimation, and enable a direct use of raw numeric matrices and timetables for training models. © 2024, CC BY-NC-SA.

关键词： State space methods

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Predicting Drying Performance of Osmotically Treated Heat Sensitive Products Using Artificial Intelligence

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computers, Materials & Continua 2021年第6期67卷 3143-3160页

作者： S.M.Atiqure Rahman Hegazy Rezk Mohammad Ali Abdelkareem M.Enamul Hoque Tariq Mahbub Sheikh Khaleduzzaman Shah Ahmed M.Nassef Department of Sustainable and Renewable Energy Engineering University of SharjahSharjahUAE College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz University11911Al-KharjSaudi Arabia Electrical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Chemical Engineering Department Faculty of EngineeringMinia University61517MiniaEgypt Department of Biomedical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Mechanical Engineering Military Institute of Science and TechnologyDhakaBangladesh Department of Infrastructure Engineering Melbourne School of EngineeringThe University of MelbourneAustralia Computers and Automatic Control Engineering Department Faculty of EngineeringTanta UniversityEgypt

The main goal of this research is to develop and apply a robust Artificial Neural Networks(ANNs)model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact *** salt and sugar solutions were used as the osmotic solutions at 27◦*** of experiments were performed at various temperatures of 35◦C,40◦C,and 55◦C for conduction heat input under vacuum(−760 mm Hg)*** experiments were also performed in a pure vacuum without heat *** moisture content(DMC),effective moisture diffusivity,and mass flux were considered as the performance parameters in this *** revealed that the osmotic dehydration using a concentrated sugar solution shows a higher reduction in the initial moisture loss of 19.87%compared to 5.3%in the salt ***,a significant enhancement of drying performance of about 27%in DMC was observed for both samples at vacuum and 40◦C compared to pure vacuum drying *** the experimental data,a robust artificial neural network(ANN)was proposed to describe the osmotic dehydration’s behavior on the drying *** ANN model outputs are the dimensionless moisture contents(DMC),the diffusivity,and the mass *** the ANN inputs were the drying time,the percent of sugar solution,and the percent of salt *** the ANN apple’s model,the minimum root mean square error(RMSE)values were 0.0261,0.0349 and 0.0406,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the above three parameters’determination values were 0.9909,0.9867 and 0.9744,*** the ANN potato’s model,the minimum RMSE values were 0.0124,0.0140 and 0.0333,for DMC,diffusivity,and mass flux,*** the best correlation coefficients of the parameters’values were found 0.9969,0.9968 and 0.9736,***,the ANN model’s prediction has a perfect agreement with th

关键词： Artificial neural network prediction modeling osmotic drying kinetics

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H control for General Conformable Polynomial Fuzzy Models

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International Journal of Fuzzy systems 2025年 1-10页

作者： Laajimi, Malek Gassara, Hamdi Rhaima, Mohamed Mchiri, Lassaad Makhlouf, Abdellatif Ben Laboratory of Sciences and Techniques of Automatic control & Computer Engineering National School of Engineering of Sfax Sfax Tunisia Department of Statistics and Operations Research College of Science King Saud University Riyadh Saudi Arabia Panthéon-Assas University Paris II Paris France Department of Mathematics Faculty of Sciences Sfax University Sfax Tunisia

This research focuses on exploring the exponential $$H_\infty $$ stability of general conformable nonlinear system. In order to address the nonlinearity inherent in the system, a polynomial fuzzy (PF) method is employed. Modeling a general conformable nonlinear system within the polynomial framework reduces the number of fuzzy rules compared to the classical Takagi–Sugeno fuzzy (TSF). Furthermore, controlling such a complex system, which accounts for perturbations, employs a PF model instead TSF model to describe its nonlinear dynamics, and incorporates a general conformable derivative instead of an integer-order one, is significantly more challenging, and remains unaddressed in previous studies. In this paper, a PF controller is designed in the form of sum of squares (SOS) to enhance the resilience against perturbations and ensure the exponential stability of the proposed model. The proposed SOS can be solved numerically, and partially symbolically, using the recently developed SOSTOOLS. In order to ensure the $$H_\infty $$ performance, a generalized criterion is defined for the general conformable nonlinear system. To demonstrate the effectiveness of the proposed method, a numerical example is provided.

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A Complex-Valued Feedback Linearization-Based controller for a Voltage Source Inverter Tied to the Grid via a Second-Order Filter

arXiv

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arXiv 2025年

作者： Tapia-Otaegui, Gerardo Solsona, Jorge A. Jorge, Sebastian Gomez Susperregui, Ana Busada, Claudio A. Itsaso Martínez, M. The Department of Automatic Control and Systems Engineering University of the Basque Country UPV/EHU Faculty of Engineering–Gipuzkoa Donostia20018 Spain UNS-CONICET Departamento de Ingeniería Eléctrica y de Computadoras UNS Bahía Blanca Argentina

In this document, a nonlinear control law for a grid-tied converter is introduced. The converter topology consists of a voltage source inverter (VSI) linked to the grid through an inductive-capacitive second-order filter, its input being connected to a capacitive DC-link supplied by a renewable energy-based input power source. In order to achieve good performance in presence of large state excursions caused mainly by substantial set-point modifications and/or considerable disturbances, a nonlinear control law based on a complex-valued feedback linearization strategy is designed. Specifically, a flat output is adopted, which is given by the summation of the energy stored in the DC-link capacitor and in the output filter’s inductor and capacitor, as well as by the reactive energy at the output. After linearizing the system through a pertinent coordinate transformation and a nonlinear feedback, a linear trajectory tracking control law is implemented. The performance of the system controlled by applying the proposed strategy is tested via simulation for a very weak grid of unity X/R ratio, yielding satisfactory results. © 2025, CC BY-SA.

关键词： Feedback linearization

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Adaptive Fuzzy Fault-Tolerant control Using Nussbaum Gain for a Class of SISO Nonlinear systems with Unknown Directions 4th

Adaptive Fuzzy Fault-Tolerant Control Using Nussbaum Gain fo...

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4th International Conference on Electrical engineering and control Applications, ICEECA 2019

作者： Bounemeur, Abdelhamid chemachema, Mohamed Zahaf, Abdelmalek Bououden, Sofiane Laboratory of Automatic Robotic and Control Systems Faculty of Engineering Department of Electronics University of Constantine 1 Constantine Algeria Faculty of Sciences and Technology University Abbes Laghrour Khenchela Algeria

ISBN: (纸本)9789811564024

This paper treatsan indirect adaptive fuzzy fault-tolerant control using fuzzy systems for a class of uncertain SISO systems with unknown control gain sign and actuator faults. The uncertain nonlinearities of the systems and the actuator faults are approximated by fuzzy systems that have been proven to be universal approximators and the Nussbaum-type function is used to deal with the unknown control gain sign. The proposed control scheme completely overcomes the singularity problem that occurs in the indirect adaptive feedback linearizing control. Projection in the estimate parameters is not required and the stability analysis of the closed-loop system is performed using Lyapunov approach. Simulation results are provided to verify the effectiveness of the proposed design. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Nonlinear systems

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Determining the User's Requirements for an Intelligent Mind-controlled Prosthetic Lower Limb system

Determining the User's Requirements for an Intelligent Mind-...

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Blockchain, Smart Healthcare and Emerging Technologies (SmartBlock4Health), IEEE International Conference on

作者： Marius-Valentin Drăgoi Anton Hadăr Nicolae Goga Haider Abdullah Ali Faculty of Industrial Engineering and Robotics University POLITEHNICA of Bucharest Bucharest Romania Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania University of Groningen Groningen Netherlands

ISBN: (纸本)9781665460156

Brain-Computer Interface technology (BCI) evolved since 70’, from a project made for studying brain affection to an approach of giving the ability to people with massive muscular affection. The basis of BCI is the electroencephalography technique (EEG) which captures brain signals from neuronal activity using electrodes placed on the scalp. These signals are interpreted as commands that can be used to control applications or external devices. EEG non-invasive approach is widely preferred due to non-critical procedures, and it doesn't need or require surgery which can be expensive and dangerous. The current prosthetic leg could be expensive, heavy, and hard to control by disabled people. To determine the functional and non-functional requirements of the user, and learn how users wish to engage with the prosthetic lower limb intelligent system, a quantitative questionnaire is offered in this study. The participant's responses will be considered the basis of the system design. The goal of this quantitative questionnaire is to build a low-cost, lightweight, and intelligent functional bionic prosthetic leg that meets the functional and non-functional requirements of the user. This system will be controlled by mind commands using a dedicated neuro headset.

关键词： Legged locomotion Headphones Electrodes Scalp Surgery control systems Electroencephalography

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Fuzzy Logic control of an Artificial Neural Network-Based Floating Offshore Wind Turbine Model Integrated with Four Oscillating Water Columns

SSRN

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SSRN 2022年

作者： Ahmad, Irfan M'zoughi, Fares Aboutalebi, Payam Garrido, Izaskun Garrido, Aitor J. Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao University of the Basque Country—UPV/EHU Po Rafael Moreno no3 Bilbao48013 Spain

The innovative hybrid offshore platform concept, which combines Floating Offshore Wind Turbines (FOWT) with Oscillating Water Columns (OWCs), has proven to be a promising solution to harvest clean energy. However, the dynamics of the tower and barge platform are extremely sensitive to wind speed and wave elevation, which causes substantial destabilization in extreme conditions, particularly to the tower-top-displacement and platform pitch angle. Therefore, the aim of this article is to focus on two main novel targets: (i) regressive modeling of the hybrid aero-hydro-elasto-servo-mooring coupled numerical system and (ii) an ad-hoc fuzzy-based control implementation for the stabilization of the platform. To analyze the performance of the hybrid FOWT, this article first employs computational Machine Learning (ML) techniques, i.e., Artificial Neural Networks (ANNs), to match the behavior of the detailed FOWT-OWCs numerical model. Then, FLC is developed and applied to establish a structural controller mitigating the undesired vibrations. Both modeling and control schemes are successfully implemented showing a superior performance when compared to the standard barge-based FOWT system. Experimental results demonstrate that the proposed ANN-based modeling is a promising alternative to other intricate non-linear NREL 5MW FOWT dynamical models. Meanwhile, the proposed FLC improves the platform's dynamic behavior with increasing its stability. © 2022, The Authors. All rights reserved.

关键词： Wind

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