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Stability and accuracy of central difference method for real-time dynamic substructure testing considering mass participation coefficient

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Earthquake engineering and engineering Vibration 2024年第3期23卷 625-636页

作者： Zheng Lichang Xu Guoshan Yang Ge Wang Zhen Yang Kaibo Zheng Zhenyun School of Civil Engineering Harbin Institute of TechnologyHarbin 150090China Key Lab of Structures Dynamic Behavior and Control Ministry of EducationHarbin Institute of TechnologyHarbin 150090China Key Lab of Intelligent Disaster Mitigation Ministry of Industry and Information TechnologyHarbin 150090China School of Civil Engineering and Architecture Wuhan University of TechnologyWuhan 430070China

For real-time dynamic substructure testing(RTDST),the influence of the inertia force of fluid specimens on the stability and accuracy of the integration algorithms has never been ***,this study proposes to investigate the stability and accuracy of the central difference method(CDM)for RTDST considering the specimen mass participation ***,the theory of the CDM for RTDST is ***,the stability and accuracy of the CDM for RTDST considering the specimen mass participation coefficient are ***,numerical simulations and experimental tests are conducted for verifying the effectiveness of the *** study indicates that the stability of the algorithm is affected by the mass participation coefficient of the specimen,and the stability limit first increases and then decreases as the mass participation coefficient *** most cases,the mass participation coefficient will increase the stability limit of the algorithm,but in specific circumstances,the algorithm may lose its *** stability and accuracy of the CDM considering the mass participation coefficient are verified by numerical simulations and experimental tests on a three-story frame structure with a tuned liquid damper.

关键词： real-time dynamic substructure testing central difference method stability mass participation coefficient tuned liquid damper

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Network information Big Data Analysis Platform Based on Deep Learning technology 11th

Network Information Big Data Analysis Platform Based on Deep...

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11th International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Yan, Kai Gao, Hao Department of Information and Control Engineering Shenyang Institute of Science and Technology Liaoning Shenyang110000 China

With the rapid development of Internet technology, the amount of information and data is constantly increasing, leading to higher and higher demands for network big data analysis platforms. This paper primarily delves into the application of deep learning technology in digital text classification. In this paper, a deep learning-based algorithm is introduced in detail. It outlines the method of extracting specific numerical eigenvectors from large-scale non-negative eigenattribute samples and converting them into machine-readable code. ased on the aforementioned methodology, an analysis platform is designed, and its basic performance is simulated and tested. The test results indicate that the platform's ability to process abnormal data in Round A is 80, Round B is 90, Round C is 70, Round D is 85, and Round E is 75. The exception handling capacity of each category is represented visually through a bar chart, where the height of the bar signifies the size of the exception handling capacity for that specific category. © 2024 The Authors. Published by Elsevier B.V.

关键词： Adversarial machine learning

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Design of electrical cabinet wire cutting machine based on STM32 3

Design of electrical cabinet wire cutting machine based on S...

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2024 3rd International Conference on Electrical, control and information technology, ECITech 2024

作者： Chen, Hao Liu, Hongxi Mu, Xiaofei Wang, Chaoyong School of Electrical and Information Engineering Changchun Institute of Technology Jilin Changchun130012 China School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin 132022 China

The wire in the electric cabinet is one of the keys to ensuring the normal operation of the electric cabinet. In order to improve the production efficiency of wire cutting, this project designed a wire-cutting machine for an electrical cabinet, which could recognize the CSV table file of the electrical cabinet wiring list on a U disk and cut wires of different lengths and quantities according to the order in the file. The main control chip of the device uses STM32 single chip microcomputer (STM32F103C8T6) and CH376S module to realize the function of reading CSV file on U disk through serial communication. In terms of control, the device adopts a proportional-integral-differential (PID) control algorithm to achieve accurate control of the JGB37-520 gear motor and TD-8120MG steering gear and then realizes wire feeding, wire stripping, cutting, and other functions. The experimental results show that the average relative error of length is about 0.5%, and the error is within a reasonable range. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Wire

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An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI

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Multimedia Tools and Applications 2024年第37期83卷 85027-85046页

作者： Ali, Saqib Khurram, Rooha Rehman, Khalil ur Yasin, Anaa Shaukat, Zeeshan Sakhawat, Zareen Mujtaba, Ghulam Faculty of Information Technology Beijing University of Technology Beijing100124 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Department of Radiology Advance Diagnostic Center Islamabad Pakistan

Cancer is a lethal illness that requires an initial stage prognosis to enhance patient survival rate. Accurate brain tumor and their sub-structure segmentation through Magnetic Resonance Images (MRIs) is a tough endeavor. Owing to the heterogeneous tumor areas, automatically segmenting brain tumors has proved to be a critical task even for neural network-based algorithms, some tumor regions remain unidentified due to their small size and the variation in area occupancy among tumor sub-classes. Current progress in the area of neural networks has been employed to enhance the segmentation performance. This study designed an intelligent 3D U-Net encoder-decoder-based system for automatic detection and brain tumor sub-structure segmentation. Our proposed 3D model constitutes neural units (the basic building blocks) followed by transition layer blocks and skip connections. BraTS 2018 and private local datasets are used to evaluate the proposed model which segments the Whole Tumor (WT), Tumor Core (TC), and the Enhancing Tumor (ET). The training accuracy, validation accuracy, dice score, sensitivities, and specificities of WT, CT, and ET zones are computed. The experimental results demonstrate that dice scores are 0.913, 0.874, and 0.801 for the BraTS 2018 dataset. The developed models performance was further evaluated by utilizing the dataset from a local hospital containing 71 subjects. The dice scores of 0.891, 0.834, and 0.776 are achieved by the proposed model on the private dataset. The practicability of the proposed model was assessed by the comparative studies of our model with existing literature. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Magnetic resonance

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Fusion of fractal features DeepLabV3+ remote sensing image building segmentation 43

Fusion of fractal features DeepLabV3+ remote sensing image b...

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43rd Chinese control Conference, CCC 2024

作者： Xu, ShengJun Wang, YuTing Xi'an University of Architecture and Technology College of Information and Control Engineering Shaanxi Xi'an710055 China

ISBN: (纸本)9789887581581

In response to the issue of indistinct edge segmentation in small-scale buildings, a remote sensing image building multi-feature fusion feature extraction network was investigated based on the boundary attention module. Firstly, the boundary attention module was expanded upon the Resnet feature extraction network to capture long-range spatial correlations and enhance semantic segmentation accuracy. Secondly, an improved fractal dimension was employed to describe the grayscale spatial distribution of image pixels, overcoming errors in traditional methods and reducing fitting errors in fractal dimensions, thereby providing a more precise depiction of texture variations on image surfaces. Compared with existing remote sensing building semantic segmentation algorithms such as FCN, Segnet, Deeplab V3, U-net and ResNet, the proposed method achieves superior segmentation accuracy by effectively mitigating interference from factors like roads, trees and shadows to obtain clearer building boundaries. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Semantic Segmentation

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Nonlinear control for triple inverted pendulum based on three-step method

Nonlinear control for triple inverted pendulum based on thre...

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2024 China Automation Congress, CAC 2024

作者： Han, Guangxin Zhang, Baokui College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin City132022 China

ISBN: (纸本)9798350368604

In order to enhance the stabilization control performance of the triple inverted pendulum system, a nonlinear controller based on the three-step method is proposed. Firstly, the state space model of the triple inverted pendulum is established. Secondly, the stabilization control law is derived in according with three-step method, that is, homeostatic-like control, reference dynamic feed-forward control and Error feedback control. Finally, the stability of the closed-loop system is proved by the Lyapunov stability theory. Simulation results show that the proposed control strategy has shorter settling time and smaller overshooting and control input, compared with the LQR algorithm optimized by PSO-AFSA and the Robust HĞ based on LMI. © 2024 IEEE.

关键词： Inverted pendulum

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Toroidal dipole response in rectangular waveguide:used to generate vector beams and vector vortex beams

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Chinese Optics Letters 2024年第1期22卷 90-97页

作者：罗灏陈聪高鹏冯越任紫燕乔昱嘉刘海 School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

Toroidal multipole is a special current distribution that has many different characteristics from electric multipole and magnetic multipole *** of its special properties,the toroidal dipole is a research hotspot in the field of metamaterials and ***,the low scattering of the toroidal dipole moment makes its excitation a challenging *** present,there are relatively few studies on its specific engineering *** this paper,by slotting in the rectangular cavity,the excitation of an equivalent toroidal dipole is successfully achieved over a wide frequency range of 53-58 *** indicate that under the action of the toroidal dipole,the TE_(10)mode electromagnetic waves transmitted in the rectangular waveguide are converted into vector beams and are radiated *** adjusting the spatial distribution of the magnetic dipoles in the toroidal dipoles yields results that indicate that the resonance mode in the slot is still dominated by the magnetic toroidal dipole moment,and the electromagnetic waves radiating outward are vortex beams carrying vector *** scattered energy of each dipole moment inside the antenna is *** calculation verifies that the mass of the vector beam and vector vortex beam is closely related to the toroidal dipole supported by this *** proposed structure can be applied to explorations in vortex filtering,in photon entanglement,and in the photonic spin Hall effect.

关键词： toroidal dipole vector beams vector vortex beams

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Integrated design and performance optimization of three-electrode sliding discharge plasma power supply

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Plasma Science and technology 2024年第11期26卷 152-161页

作者： Borui ZHENG Linwu WANG Jianbo ZHANG Shaojie QI Yuhong CHEN Haodong LIU Dongliang BIAN School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048People’s Republic of China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038People’s Republic of China

The three-electrode sliding dielectric barrier discharge(TES-DBD) plasma actuator significantly enhances the ionization rate and momentum exchange between charged particles and neutral particles by incorporating a parallel DC electrode into the standard DBD design. This design improves the body force and induced jet velocity while allowing flexible control of the induced jet angle, overcoming the limitations of discharge extension and uncontrollable direction in traditional DBD plasma actuators. An integrated plasma power supply has been designed specifically for TES-DBD plasma actuators, streamlining the power supply management. The methodology involves designing the circuit topology for the TES-DBD power supply, followed by simulating and validating its operating principles using Multisim software. The operational performance of the power supply is evaluated through a comprehensive analysis of its electrical,thermal, and aerodynamic properties specific to TES-DBD plasma actuation.

关键词： plasma flow control dielectric barrier discharge three-electrode sliding discharge plasma power supply

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Spatiotemporal evolution laws of sector-shaped dielectric-barrier-discharge plasma actuator

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Plasma Science and technology 2024年第10期26卷 108-115页

作者： Borui ZHENG Jianbo ZHANG Shaojie QI Jianghua XU Yiche LI Yuanzhong JIN Dongliang BIAN School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048People’s Republic of China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038People’s Republic of China

Dielectric barrier discharge(DBD)plasma actuators are widely used in active flow control due to their simple design and rapid ***,they need more effectiveness and discharge *** overcome these limitations,a sector-shaped dielectric barrier discharge(SS-DBD)plasma actuator with an adjustable jet angle was developed to enhance flow control *** flow field dynamics induced by the SS-DBD plasma actuator were quantitatively analyzed using particle image velocimetry(PIV).Experimental investigations showed that precise adjustments to the actuation voltage can modulate the maximum velocity of the induced ***,a quasi-linear relationship between the sector-shaped angles of the SS-DBD and the deflected jet angles was established,indicating that changes in the sector-shaped angles directly influence the direction of the deflected *** correlation enables precise control over jet angles,significantly enhancing flow control by adjusting the SS-DBD-PA's sector-shaped angle.

关键词： plasma flow control plasma actuator particle image velocimetry

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A Collaborative Graph-based SLAM Framework Using a Computationally Effective Measurement Algebra

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2023年第4期67卷 403-412页

作者： Péter, Gábor Kiss, Bálint Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

Simultaneous localization and mapping (SLAM) is an essential task for autonomous rover navigation in an unknown environment, especially if no absolute location information is available. This paper presents a computationally lightweight framework to enable agents with limited processing power to carry out the SLAM cooperatively and without absolute onboard localization sensors in a 2D environment. The proposed solution is built on a graph-based map representation, where nodes (resp. edges) represent landmarks (resp. odometry-based relative measurements), a measurement algebra with embedded uncertainty, and a compact database format that could be stored on a server in a centralized manner. The operations required by the agents to insert a new landmark in the graph, update landmark positions and combine measurements as a loop is closed in the graph are detailed. The resulting framework was tested in a laboratory environment and on a public dataset with encouraging results;hence our method can be used for cost-effective indoor mobile agents with limited computational resources and onboard sensors to achieve a mapping while keeping track of the agent’s position. The method can also be easily generalized for a 3D scenario. © 2023 Budapest University of technology and Economics. All rights reserved.

关键词： Mobile agents

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