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2024 International Conference on Electrical Machines, ICEM 2024

作者： Stone, Edward J. W. Panagiotou, Panagiotis A. Muhlthaler, Johannes Mills, Andrew R. Lambourne, Alexis Jewell, Geraint W. The University of Sheffield Department of Electronic and Electrical Engineering Sheffield United Kingdom Rolls-Royce Deutschland Ltd & Co KG Rolls-Royce Electrical Munich Germany The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Rolls-Royce Plc. UK Rolls-Royce Central Services Derby United Kingdom

ISBN: (纸本)9798350370607

The highly demanding operation of electrical machines in aerospace can lead to the degradation of electrical insulation systems within the machine windings over time. This paper presents a novel method for high frequency modelling of a coil from the concentrated stator winding of an 2MW aerospace generator, for the purpose of characterising the insulation system by the amplitude and phase responses by the Bode plots in the same framework as electrical impedance spectroscopy. This new approach of high frequency model utilises a finite element model, deployed in tandem with an electrical equivalent circuit representation. Matlab is used to quantify the results taken from finite element modelling and implemented into LTSpice, so that the model considers mutual coupling of inductances and high-frequency effects, such as proximity and skin effects. This novel methodology allows extraction of the impedance profile with respect to the material changes within the simulated insulation system. © 2024 IEEE.

关键词： MATLAB

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Guest Editorial: Advances in High Voltage DC systems/Grids control, Operation, and Protection

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High Voltage 2020年第5期5卷 499-500页

作者： Kumars Rouzbehi Ali Mehrizi-Sani Department of Systems Engineering and Automatic Control University of SevilleSpain. Bradley Department of Electrical and Computer Engineering Virginia TechUSA.

Interconnections between AC power systems,power transmission with higher efficiency,and aggregation and delivery of power from offshore wind farms to different AC regions are among the main drivers for the development of HVDC *** grids can result in lower demand variability,higher flexibility,superior electricity market management,and higher economic *** is expected that isolated HVDC systems transition to an HVDC grid that overlays the existing AC *** a substantial development also results in a number of critical technical challenges related to system control,operation,and protection,which should be properly and accurately *** Special Issue focuses on the recent achievements and advancements in overcoming these *** papers for publications in this Special Issue fall into four major topics:devices,control,operation,and protection.

关键词： properly operation offshore

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EQUILIBRIA AND STABILITY OF ONE MESSENGER RNA AND TWO MICRO RNA DYNAMICS

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2022年第4期84卷 3-8页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

In this paper we study an ODE model on the microRNA-mRNA dynamics. We prove the existence of two equilibrium points (one with strictly positive compo-nents) and obtain a biologically consistent, sufficient asymptotic stability condition for the strictly positive equilibrium. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Asymptotic stability

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Operation Optimization of Integrated Energy System Considering Demand Response and Carbon Trading

Operation Optimization of Integrated Energy System Consideri...

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International Conference on Power and Energy Technology (ICPET)

作者： Ruizhe Fan Xuecheng Li Jun Li School of Electrical and Control Engineering North China University of Technology Beijing China Department of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

Integrated energy system is a useful tool for achieving the"dual-carbon"goal. In order to explore the demand-side adjustable potential of the comprehensive energy system for lowering carbon emissions, this paper proposes an optimal operation model that accounts for demand response under a carbon trading mechanism. Initially, the demand response is classified into two categories based on the characteristics of the load response. Additionally, a carbon trading mechanism is built for the integrated energy system by allocating the carbon emission quotas for the system using the baseline technique, which is free of charge. The actual carbon emissions from the gas turbine and gas boiler are also taken into account. Ultimately, a low-carbon optimization operation model of the integrated energy system is established, with the goal of minimizing the total cost of energy purchase, carbon trading, and operation and maintenance. The suggested model's validity is then confirmed through four types of typical scenarios.

关键词： Costs systems operation Tariffs Emissions trading Carbon dioxide Demand response Resource management Optimization Turbines Load modeling

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Optimizing Machine Learning Algorithms to Enhance Blood Donation for Liver Patients: A Case Study 7

Optimizing Machine Learning Algorithms to Enhance Blood Dona...

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7th IET Smart Cities Symposium, SCS 2023

作者： Mijwil, Maad M. El-Kenawy, El-Sayed M. Bala, Indu Aljanabi, Mohammad Abotaleb, Mostafa Ibrahim, Abdelhameed Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt School of Electrical and Electronics Engineering Lovely Professional University Punjab India Department of Computer Aliraqia University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Blood is vital for transporting oxygen, nutrients, and hormones to all body parts as it circulates through arteries and veins. It removes carbon dioxide, regulates body temperature, and maintains the body's immune system. Individuals constantly need blood and its derivatives to save their lives and improve their health through medical treatments and surgical operations. Liver diseases are one of the diseases that affects the health of individuals and requires blood to continue living. These diseases cause significant damage to people's health, and early diagnosis plays a crucial role in saving lives. In this paper, machine learning algorithms (support vector machine and random forest) are involved in detecting liver diseases and determining whether donors are suitable to donate blood from blood values. This paper is applied research that found that the performance measures of the random forest algorithm achieved excellent performance in identifying suitable people to donate blood. © The Institution of engineering & Technology 2023.

关键词： Support vector machines

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Nonasymptotic Regret Analysis of Adaptive Linear Quadratic control with Model Misspecification

arXiv

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arXiv 2023年

作者： Lee, Bruce D. Rantzer, Anders Matni, Nikolai Department of Electrical and Systems Engineering University of Pennsylvania United States Department of Automatic Control Lund University Sweden

The strategy of pre-training a large model on a diverse dataset, then fine-tuning for a particular application has yielded impressive results in computer vision, natural language processing, and robotic control. This strategy has vast potential in adaptive control, where it is necessary to rapidly adapt to changing conditions with limited data. Toward concretely understanding the benefit of pre-training for adaptive control, we study the adaptive linear quadratic control problem in the setting where the learner has prior knowledge of a collection of basis matrices for the dynamics. This basis is misspecified in the sense that it cannot perfectly represent the dynamics of the underlying data generating process. We propose an algorithm that uses this prior knowledge, and prove upper bounds on the expected regret after T interactions with the system. In the regime where T is small, the upper bounds are dominated by a term that scales with either poly(log T) or √T, depending on the prior knowledge available to the learner. When T is large, the regret is dominated by a term that grows with δT, where δ quantifies the level of misspecification. This linear term arises due to the inability to perfectly estimate the underlying dynamics using the misspecified basis, and is therefore unavoidable unless the basis matrices are also adapted online. However, it only dominates for large T, after the sublinear terms arising due to the error in estimating the weights for the basis matrices become negligible. We provide simulations that validate our analysis. Our simulations also show that offline data from a collection of related systems can be used as part of a pre-training stage to estimate a misspecified dynamics basis, which is in turn used by our adaptive controller. © 2023, CC BY.

关键词： Matrix algebra

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Super Resolution of Unpaired MR Images Based on Domain Migration 18th

Super Resolution of Unpaired MR Images Based on Domain Migra...

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18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Liu, Xiaodong Guo, Haipeng Liu, Huanyu Department of Automatic Test and Control School of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China Information Countermeasure Technique Institute School of Computer Science and Technology Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819901043

High-resolution magnetic resonance imaging (MRI) is very important for doctors to judge the condition. At present, the depth learning method has been widely studied in the super-resolution reconstruction of MR images. However, due to the distribution difference between the real low-resolution MR images and the down sampled MR images used to train the super-resolution model under experimental conditions, the super-resolution performance of the super-resolution method is often seriously degraded when super-resolution is applied to the real low-resolution MR images. Blind super-resolution methods used to solve such problems in natural image super-resolution are lack of image content constraints. It is not advisable to introduce additional information that will interfere with doctors’ diagnosis in the super-resolution process of MR images. These two problems hinder the application of super-resolution method in real MR images. In order to solve these problems, an unpaired MR image super-resolution network based on domain migration is proposed. The proposed DMN can use a real set of low to high-resolution unpaired MR images as input, migrate the real low-resolution MR images to the down sampled MR image domain, and then super-resolution reconstruction is carried out through the paired super-resolution network obtained through supervision training. Experiments on fast MRI datasets verify the effectiveness of this method in solving the super-resolution problem of real MR images. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Magnetic resonance imaging

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Predictive functional control for challenging dynamic processes using a simple prestabilization strategy

Advanced Control for Applications: Engineering and Industria...

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Advanced control for Applications: engineering and Industrial systems 2022年第2期4卷

作者： Aftab, Muhammad Saleheen Rossiter, John Anthony Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Predictive functional control (PFC) is a straightforward and cheap model-based technique for systematic control of well-damped open-loop processes. Nevertheless, its oversimplified design characteristics are often the cause of diminished efficacy in more challenging applications;processes involving lightly damped and/or unstable dynamics have been particularly difficult to control with PFC. This paper presents a more sustainable solution for such applications by integrating the concept of prestabilization within the predictive functional control formulation. This is essentially a two-stage synthesis wherein the undesirable open-loop dynamics are first compensated, using a well-understood classical approach such as proportional integral derivative (PID), before implementing predictive control in a cascade structure. The proposal, although comes with significant implications for tuning and constraint handling, is, nonetheless, straightforward and provides improved closed-loop control in the presence of external perturbations compared to the standard PFC and the PID algorithms, as demonstrated with two industrial case studies. © 2022 The Authors. Advanced control for Applications: engineering and Industrial systems published by John Wiley & Sons Ltd.

关键词： Two term control systems

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CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots

arXiv

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arXiv 2025年

作者： Sejersen, Jonas le Fevre Kayacan, Erdal Department of Electrical and Computer Engineering Aarhus University Aarhus C8000 Denmark Automatic Control Group Department of Electrical Engineering and Information Technology Paderborn University Paderborn Germany

This study presents the conflict-aware multi-agent estimated time of arrival (CAMETA) framework, a novel approach for predicting the arrival times of multiple agents in unstructured environments without predefined road infrastructure. The CAMETA framework consists of three components: a path planning layer generating potential path suggestions, a multi-agent ETA prediction layer predicting the arrival times for all agents based on the paths, and lastly, a path selection layer that calculates the accumulated cost and selects the best path. The novelty of the CAMETA framework lies in the heterogeneous map representation and the heterogeneous graph neural network architecture. As a result of the proposed novel structure, CAMETA improves the generalization capability compared to the state-of-the-art methods that rely on structured road infrastructure and historical data. The simulation results demonstrate the efficiency and efficacy of the multi-agent ETA prediction layer, with a mean average percentage error improvement of 29.5% and 44% when compared to a traditional path planning method (A∗) which does not consider conflicts. The performance of the CAMETA framework shows significant improvements in terms of robustness to noise and conflicts as well as determining proficient routes compared to state-of-the-art multi-agent path planners. © 2025, CC BY.

关键词： Mobile robots

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High-Speed Operational Amplifier Based on a Modified “Folded” Cascode

High-Speed Operational Amplifier Based on a Modified “Folde...

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Ural Symposium on Biomedical engineering, Radioelectronics and Information Technology (USBEREIT)

作者： Dmitry Kuznetsov Alexey Titov Nikolay Prokopenko Nikolay Butyrlagin Department of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia Department of Automatic Control Systems Southern Federal University Rostov-on-Don Russia

ISBN: (数字)9798350362893

ISBN: (纸本)9798350362909

A CBjT high-speed operational amplifier (op-amp) has been developed and studied, which differs from known in its modified input stage (IS), as well as the architecture of the intermediate “folded” cascode (FC). The proposed circuits IS and FC circuits solve the problem of increasing the maximum slew rate of the output voltage (SR) in large-signal mode by more than 10 times. In the LTspice environment, computer simulation of an op-amp on complementary bipolar transistors was performed, which shows that the use of the developed transient correction circuits makes it possible to increase SR from 103 V/μs to 1408 V/μs. The logarithmic amplitude-frequency characteristics of the op-amp under study are given for different options for its inclusion - with and without general negative feedback. The leading and trailing edges of the op-amp transient process were studied with an input rectangular pulse signal with an amplitude of 5V at different values of the capacitance of the additional correction capacitor $C_{\mathbf{k1}}$. The simulation results are presented in the form of a table that establishes the relationship between the numerical values of the maximum rate of rise of the output voltage of the op-amp and the capacitance $C_{\mathbf{k1}}$. The considered op-amp is recommended for use in various automation devices and communication systems, for example, discrete-analog filters on switched capacitors, high-speed ADC drivers, etc.

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