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5th International Conference on system Reliability and Safety engineering, SRSE 2023

作者： Liu, Weiming Chen, Cen Wang, Zhifei Zhang, Xiaosheng Zhai, Guofu Zheng, Wei Engineering & Automation Harbin Institute of Technology Department of Electrical Harbin China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350305944

The energy meter is a widely used digital-analog electronic system. However, metering accuracy is inevitably influenced by factors such as ambient temperature, load current, and component tolerance. This paper introduces a method utilizing digital twin models to analyze the consistency of metering accuracy in a new single-phase smart meter prototype. An electro-thermal coupling model incorporating a temperature compensation algorithm is established, and the metering accuracy is solved using a surrogate model. By employing the Monte Carlo method, a batch of product samples is generated to determine the impact of varying ambient temperature and load current conditions on the metering accuracy's consistency within the maximum operating range. The results of this study provides a valuable foundation for robust design and reliability optimization of the energy meter. © 2023 IEEE.

关键词： Smart meters

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Output Linearization of Single-Input Single-Output Fuzzy system to Improve Accuracy and Performance

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Computers, Materials & Continua 2023年第5期75卷 2413-2427页

作者： Salah-ud-din Khokhar QinKe Peng Muhammad Yasir Noor Department of Automation Science and Technology(System Engineering Institute) School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’anShaanxi710049China Department of Computer Science G.C.UniversityLahore54000PunjabPakistan Department of Physics(Electronics) G.C.UniversityLahore54000PunjabPakistan

For fuzzy systems to be implemented effectively,the fuzzy membership function(MF)is essential.A fuzzy system(FS)that implements precise input and output MFs is presented to enhance the performance and accuracy of single-input single-output(SISO)FSs and introduce the most applicable input and output MFs protocol to linearize the fuzzy system’s *** a variety of non-linear techniques,a SISO FS is *** results of FS experiments conducted in comparable conditions are then *** simulated results and the results of the experimental setup agree fairly *** findings of the suggested model demonstrate that the relative error is abated to a sufficient range(≤±10%)and that the mean absolute percentage error(MPAE)is reduced by around 66.2%.The proposed strategy to reduceMAPE using an FS improves the system’s performance and control *** using the best input and output MFs protocol,the energy and financial efficiency of every SISO FS can be improved with very little tuning of *** proposed fuzzy system performed far better than other modern days approaches available in the literature.

关键词： Mean absolute percentage error membership functions relative error fuzzy system

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Cataract Surgical Instruments Segmentation Free of Motion Blur Influence 24

Cataract Surgical Instruments Segmentation Free of Motion Bl...

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13th International Conference on Bioinformatics and Biomedical Science, ICBBS 2024

作者： Sun, Xuebin Wang, Jinxi Yang, Xiaofei School of Electrical Automation and Information Engineering Tianjin University Tianjin China Department of Aerospace Laser Technology and System Shanghai Institute of Optics and Fine Mechanics Shanghai China

ISBN: (纸本)9798400717956

Most of the existing cataract surgical instrument segmentation algorithms fail to consider the motion blur caused by the surgeon's hand movement or defocused camera. Most prior deblurring methods are oriented to visual tasks to merely recover the structure information from motion-blurred images. However, during surgical instrument segmentation, it is important to obtain the exact location of the surgical instruments at the current time to pave the way for subsequent downstream tasks, such as tracking and position estimation. In this work, we propose a spatiotemporal (ST) information-based network, consisting of the deblurring module and a subsequent segmentation module, for cataract surgical instrument segmentation free of motion blur influence to address the missing gap in the existing literature. The ST recurrent network with a series of ST-LSTM and gradient highway units removes the motion blur, which then enables for accurate semantic segmentation. The ST network model subsequently captures the temporal and spatial correlation for semantic segmentation. Experimental results quantitatively and qualitatively demonstrate that our method outperforms the state-of-the-art on our self-constructed dataset and the CaDIS benchmark dataset. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Semantic Segmentation

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Dynamic Modeling of Key Operating Parameters for Supercritical Circulating Fluidized Bed Units based on Data-Knowledge-Driven Method

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Journal of Thermal Science 2024年第3期33卷 1216-1230页

作者： YU Haoyang GAO Mingming ZHANG Hongfu CHEN Jiyu LIU Jizhen YUE Guangxi The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer EngineeringNorth China Electric Power UniversityBeijing102206China CHN Energy New Energy Technology Research Institute Co. Ltd.Beijing102209China Department of Energy and Power Engineering Tsinghua UniversityBeijing100084China

To address the pressing need for intelligent and efficient control of circulating fluidized bed(CFB)units,it is crucial to develop a dynamic model for the key operating parameters of supercritical circulating fluidized bed(SCFB)***,data-knowledge-driven dynamic model of bed temperature,load,and main steam pressure of the SCFB unit has been ***,a knowledge-driven method is employed to develop a dynamic model for key operating parameters of SCFB *** model parameters are determined based on the operating data of the unit and continuously optimized in real ***,Bidirectional Long Short-Term Memory combined with Convolutional Neural Network and Attention Mechanism is utilized to build the dynamic model of bed temperature,load,and main steam ***,a collaboration and integration method based on the critic weight method and the variation coefficient method is proposed to establish data-knowledge-driven model of key operating parameters for SCFB *** model displays great accuracy and fitting ability compared with other methods and effectively captures the dynamic characteristics,which can provide a research basis for the design of intelligent flexible control mode of SCFB unit.

关键词： circulating fluidized bed dynamic model data-knowledge-driven method deep learning power plant

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Model of atomized droplets average particle size and verification of eco-friendly hybrid lubrication(CAMQL)

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摩擦（英文版） 2025年第5期13卷 149-164页

作者： Mingzheng Liu Changhe Li Dongzhou Jia Xin Liu Yanbin Zhang Min Yang Xin Cui Teng Gao Yusuf Suleiman Dambatta Runze Li Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of EducationQingdao University of TechnologyQingdao 266520China Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of EducationQingdao University of TechnologyQingdao 266520China Qingdao Jimo Qingli Intelligent Manufacturing Industry Research Institute Qingdao 266201China College of Mechanical Engineering and Automation Liaoning University of TechnologyJinzhou 121001China School of Mechanical Engineering Dalian University of TechnologyDalian 116081China School of Engineering Department of Biomedical EngineeringMassachusetts Institute of TechnologyBoston 02139USA

In the precision cutting of difficult-to-process metals,surface thermal damage to a workpiece is a significant technical *** clean minimum quantity lubrication(MQL)technology,which replaces traditional pouring cooling,is used,inadequate heat dissipation remains an *** air MQL(CAMQL),an eco-friendly technology,can enhance the heat transfer performance of the lubricating film in the cutting zone,offering excellent cooling and lubrication ***,the influence of jet and temperature parameters on the average particle size and distribution characteristics of atomized droplets is not well *** study first analyzes the evolution of lubricant physical properties and establishes a quantitative mapping relationship between cryogenic air temperature and physical parameters of ***,the unstable fluctuation in the annular liquid film at the two-phase flow nozzle exit is observed and analyzed.A thickness model of annular liquid film is developed,revealing the effect of airflow field on the annular liquid ***,a model for the average particle size of atomized droplets under CAMQL is *** analysis and validation experiments under different working conditions show that the measured values align with the theoretical *** an air pressure of 0.4 MPa and an air flow temperature of-50 °C,the droplet particle size is 133.5 μm,with an error of 8.2%.The effect of air pressure on particle size is greater than that of air flow ***,the distribution spans of droplet size under different conditions are analyzed,and the results demonstrated that low temperatures help shorten the interval between particle sizes and improve the relative uniformity of particle size *** research provides a theoretical basis for the application of CAMQL technology in the cutting process.

关键词： cryogenic air minimum quantity lubrication(MQL) atomization average particle size mathematical model

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Triggered Mechanism for Strict Feedback systems under Unknown control Directions 14

Triggered Mechanism for Strict Feedback Systems under Unknow...

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14th Asian control Conference, ASCC 2024

作者： Liu, Guilong Wu, Hongda Yang, Yongliang Xie, Wei Zhang, Weidong School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581598

This paper presents an event-based asymptotic tracking control scheme designed for strict feedback systems with unknown control directions. The control directions directly determine how the controller acts on the system, thus impacting the system's stability and convergence speed. When the control directions are unknown, it presents a significant challenge in controller design. To tackle this issue, the Nussbaum-type gains are introduced. However, this method increases communication overhead. Hence, an event-triggered mechanism is introduced to alleviate this burden. Additionally, to achieve and maintain desired target states, satisfying control requirements and performance demands, this paper improves the event-triggered mechanism to achieve asymptotic tracking. Finally, the feasibility and effectiveness of the proposed design are validated through a simulation example. © 2024 Asian control Association.

关键词： Feedback

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Event-triggered learning of Euler-Lagrange systems: A Koopman operator framework 63

Event-triggered learning of Euler-Lagrange systems: A Koopma...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zheng, Kaikai Shi, Dawei Li, Shilei Shi, Yang Beijing Institute of Technology Miit Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Victoria Faculty of Engineering Department of Mechanical Engineering VictoriaBCV8N 3P6 Canada

ISBN: (纸本)9798350316339

Euler-Lagrange (EL) systems represent a crucial and large class of dynamical systems, and a precise model of the true system would be beneficial in planning and tracking problems. This work aims to learn an unknown EL system using noisy measurement data to achieve improved data utilization efficiency. Specifically, for the considered EL system, a linear representation of the system is constructed using the Koopman operator, which is further characterized by sample data using Willems' fundamental lemma. Moreover, an event-triggered learning mechanism is proposed to improve data utilization efficiency, and it is designed based on the analysis of the learning error bounds. The effectiveness of the proposed event-triggered learning approach is validated through a manipulator example. © 2024 IEEE.

关键词： Lagrange multipliers

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A control Strategy for Bidirectional Buck Converter with Combining Continuous and Active Discontinuous Conducting Modes 25

A Control Strategy for Bidirectional Buck Converter with Com...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Stolyarov, Evgeniy Lashkevich, Maxim Kulik, Egor Ali, Yousef Demidova, Galina Anuchin, Alecksey Department of Electric Drives Moscow Power Engineering Institute Moscow Russia Faculty of Control System and Robotics ITMO University Saint Petersburg Russia

ISBN: (纸本)9798350389234

The hybrid electric powertrains can utilize bidirectional buck converters to charge the battery while driving and discharge it when extra power is required. In order to increase the power density, the wide-bandgap switches should be used. These switches have bidirectional conductivity mode as they are metal–oxide–semiconductor field-effect transistors (MOSFET) and the utilization of the freewheeling diode is undesirable due to high voltage drop across it and much higher losses in conducting mode. This paper proposes the combined control strategy which implements continuous conducting mode at high and active discontinuous conducting mode at low currents. The use of model predictive control allows to minimize the conducting losses by means of reverse conductivity mode of the switches. The paper provides derivation of the combined control strategy. Then, the simulation results show the effectiveness of the proposed method. Finally, the simulation was performed with various errors in the definition of the system parameters. © 2024 IEEE.

关键词： Buck converter

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Approximate state estimation with large-scale sensor networks under event-based sensor scheduling strategy 63

Approximate state estimation with large-scale sensor network...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Liu, Xinhui Cheng, Meiqi Shi, Dawei Shi, Ling Beijing Institute of Technology Miit Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Kowloon Hong Kong

ISBN: (纸本)9798350316339

In this paper, we investigate the issues of real-time sensor scheduling and state estimator design within large-scale sensor network systems. Specifically, data redundancy sometimes occurs in large-scale sensor arrays due to the excessive proximity of sensing units in the spatial domain, leading to high similarity in their measurement data. Currently, it is difficult to account for such redundancy in sensor scheduling algorithms found in existing literature, where the optimal subset of sensors is generally selected by optimizing objective functions formulated from certain performance criteria. To tackle this problem, we introduce an event-based sensor scheduling strategy, the triggering condition of which is designed founded on the similarity of sensor data, so as to identify the most informative subset of sensors for state estimation. To evaluate the impact of the sensor scheduling protocol on system observability, we propose a new notion of E(varepsilon)-observability, based on which an observability criterion is derived. In addition, we have designed a set-valued state estimation algorithm, which takes into account the intricate measurement information structure inherent within the sensor selection mechanism. The performance enhancement of the proposed estimator is also investigated. Finally, numerical experiments are conducted to validate the effectiveness of the proposed estimation algorithm and to verify the performance improvement. © 2024 IEEE.

关键词： Scheduling algorithms

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Research on Robot Path Planning Algorithm for Filter Plate Cleaning of Plate and Frame Filter Press 4

Research on Robot Path Planning Algorithm for Filter Plate C...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Xu, Jie Cui, Long Zhao, Yongguo Tian, Xincheng Center for Robotics School of Control Science and Engineering Shandong University Jinan China Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China Institute of Automation Qilu University of Technology Shandong Academy of Sciences Jinan China

ISBN: (纸本)9798331541729

Plate and frame filter press is an important solid-liquid separation equipment that plays an important role in many fields. The filter plate is one of the core components of the frame filter press, and its main function is to support the filter cloth and form a filter chamber. After the filtration process of the filter press is completed, a large number of impurities are often attached to the filter plate, so it is of great value to study the impurity cleaning problem of the filter plate of the plate and frame filter press. In this paper, aiming at the cleaning process of the filter plate of the plate and frame filter press, the image information of the filter plate is obtained by visual means, and then the image is analyzed and processed to obtain the position information of the impurities of the filter plate, the path planning of the obtained position information is carried out, and finally the robot is made to complete the cleaning task efficiently and accurately according to the planned path, which has certain practical value. © 2024 IEEE.

关键词： Robot programming

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