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12th International Conference on Advanced Cloud and Big Data, CBD 2024

作者： Ding, Shiru Wang, Zhen Lu, Yifei School of Electrical and Automation Engineering Nanjing Normal University China School of Computer Science and Engineering Nanjing University of Science and Technology China

ISBN: (纸本)9798331511074

Previous deep learning-based Network Intrusion Detection Systems (NIDS) require a sufficient number of labeled samples to train deep neural network models. However, in certain scenarios of the Internet of Things (IoT), such as zero-day attacks, abnormal data is scarce and cannot meet the training conditions for neural network models. Thus, there is a need for a NIDS capable of few-shot learning. Additionally, previous online network intrusion detection systems did not comprehensively consider the significant impact of data feature drift and catastrophic forgetting on the performance of online models. In order to solve these two problems, we designed an adaptive online few-shot network intrusion detection system based on meta-learning. We evaluated the proposed system using the public datasets CIC-IDS2017, and the results show that our system can effectively handle the challenge of small samples while continuously adapting to new data with minimal catastrophic forgetting. © 2024 IEEE.

关键词： Zero-shot learning

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The Design Optimization of the High-Frequency Planar Transformers for Electric Vehicle Chargers 7

The Design Optimization of the High-Frequency Planar Transfo...

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7th IEEE International electrical and Energy Conference, CIEEC 2024

作者： Zhang, Li Shen, Min Wang, Xiaozhou Zhao, Shuang Li, Helong Yang, Zhiqing Ding, Lijian School of Electrical and Automation Engineering Hefei University of Technology HeFei China School of Intelligent Manufacturing and Control Engineer Qilu Institute of Technolgy Jinan China School of Electrical and Automation Engineering Hefei University of Technology China

ISBN: (纸本)9798350359558

Electric vehicle chargers can be divided into high-voltage DC (HVDC) system for charging power battery and low-voltage DC (LVDC) system for supplying low-voltage battery. Since the next generation EVs is getting smarter, they calls for chargers with higher power rating, higher power density and reduced loss which poses challenges for the LVDC systems design. In this paper, LLC resonant DC/DC converter is selected for HVDC system and two-stage converter with a Buck/Boost converter and an SRC converter is used for LVDC system. Circuit parameter design and high frequency (HF) planar transformer design are conducted for the aforementioned two kinds of converters respectively. For HVDC system, a transformer integrating resonant inductance and magnetizing inductance on a core is designed, and for LVDC system, a quarter-turn transformer is designed. The rationality and high efficiency of the two high HF planar transformer designs are verified by simulation and experiment results. © 2024 IEEE.

关键词： Inductance

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Analysis of Subsynchronous Oscillations Caused by Interactions of DFIG-Based Farms and SVGs

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IEEE Transactions on Power Systems 2025年第2期40卷 1570-1582页

作者： Li, Kejiang Chen, Wuhui Qin, Wei Li, Canbing Qin, Wenping Qiu, Jing Guo, Xiaolong Chang, Xiqiang Liu, Defu College of Electrical and Power Engineering Taiyuan030024 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China The University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia State Grid Xinjiang Electrical Power Company Ltd. Xinjiang Control Center for Power Dispatching Wulumuqi830002 China

The static var generators (SVGs) installed at the point of common coupling (PCC) of wind farms can significantly impact the sub-synchronous oscillation (SSO) performance of the power system with grid-connected wind farms. For example, in 2017 multiple SSO events were caused by interactions among a doubly fed induction generator (DFIG) based farm, constant reactive power mode (CRPM) based SVGs, and the weak grid in Xinjiang, China. This paper reveals the mechanisms of the SSO caused by the interaction among DFIG-based farms, SVGs with different control modes, and weak grids. It is discovered that CRPM-based SVGs with low current controller bandwidths (CCBWs) can suppress SSOs in the power system with grid-connected DFIG-based farms, but that constant voltage mode (CVM) based SVGs and constant power factor mode (CPFM) based SVGs can worsen the SSO performance of the system. Furthermore, it is revealed why the amplitude of the super-synchronous component is larger than the sub-synchronous component in these events by deriving their amplitude ratio equation. Finally, the theoretical analysis results are verified by the small-signal method and electromagnetic transient (EMT) simulation. © 1969-2012 IEEE.

关键词： Phase locked loops

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Improving Formation Maneuvering of Unmanned Surface Vehicles: A Finite-Time Distributed Approach with Velocity Constraints

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第10期9卷 1-12页

作者： Wang, Ping Yu, Chengpu Lv, Maolong Park, Ju H. School of Automation Beijing Institute of Technology Beijing China College of Air Traffic Control and Navigation Air Force Engineering University Xi'an China Department of Electrical Engineering Yeungnam University Kyongsan Republic of Korea

This paper presents a novel approach for addressing the finite-time distributed formation maneuvering (FTDFM) of multiple unmanned surface vehicles (USVs), which takes into account the challenges posed by velocity and error constraints. Each USV is subject to parameter uncertainty, ocean disturbance, actuator fault, and input saturation, making the task of achieving reliable and accurate formation particularly challenging. To overcome these challenges and meet practical requirements, a finite-time (FT) performance function is selected as the constraint function, which ensures that the velocity and error of each USV stay within a given bounded set within a known time. Using FT stability theory, a new framework is proposed that integrates a tangent-type barrier function and an improved backstepping approach to handle uncertainties and constraints. In this approach, a tracking differentiator (TD) is introduced to replace the virtual controller's derivative, and a smooth function is used to address the input saturation, effectively reducing the complexity and dynamic order of the algorithm. The proposed controller is capable of ensuring the realization of the desired formation within a finite time while maintaining the constraints without deviation. Additionally, by using the auxiliary variable technique, the proposed control method can also be applied to USVs with underactuated models. Simulation examples are provided to demonstrate the efficacy of the proposed control algorithm in achieving accurate and reliable formation maneuvering of multiple USVs under various constraints. IEEE

关键词： Actuators

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On the optimality of uniform velocity-deceleration separation scheme for tethered satellite systems

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control Theory and Technology 2024年第4期22卷 503-516页

作者： Peng Yu Ji-Feng Zhang Shuping Tan Jin Guo Yanlong Zhao School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of EducationBeijing100083China Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing100190China Beijing Institute of Control Engineering Beijing100094China

For mitigating the libration angle fluctuation of the tethered satellite system,this paper discusses how to make the uniform velocity-deceleration separation scheme achieve the best ***,a judgment condition is established to determine the tether state by comparing the tether length and the relative distance of the sub-satellite and the parent *** on the tethered satellite system dynamics equation and Clohessy-Wiltshire equation,dynamic models are given for four cases of tether ***,the influence of the uniform velocity-deceleration separation scheme on the libration angle is analyzed by taking the libration angle at the separation ending time and the mean absolute value of the libration angle as index ***,the optimality problem of the uniform velocity-deceleration separation scheme is formulated as an optimization problem with constraints,and an approximate solution algorithm is given by combining the back propagation neural network and Newton-Raphson method of multiple initial ***,the effectiveness of the proposed method is verified by a numerical simulation.

关键词： Tethered satellite systems Libration angle Uniform velocity-deceleration separation Neural network

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Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 231-239页

作者： Yahui Liu Bin Tian Yisheng Lv Lingxi Li Fei-Yue Wang the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190 IEEE the Transportation and Autonomous Systems Institute(TASI)and the Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis(IUPUI)Indianapolis 46202 USA

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://***/yahuiliu99/PointC onT.

关键词： Content-based Transformer deep learning feature aggregator local attention point cloud classification

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Analysis of circulating current elimination Based on Three Phase Dual Frequency Grid-Connected Inverter 8

Analysis of circulating current elimination Based on Three P...

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8th International Conference on electrical, Mechanical and computer engineering, ICEMCE 2024

作者： Chen, Zhigang Cui, Zhenfei Yang, Liyong Tong, Chaonan University of Science and Technology School of Automation and Electrical Engineering Beijing China North China University of Technology College of Electrical and Control Engineering Beijing China

ISBN: (纸本)9798331506230

Integrating filters into inverters to improve the power quality is essential. This study examines a three-phase dual-frequency grid-connected inverter designed to minimize switching losses by reducing the switching frequency in the energy transmission channel. The system utilizes L-filters and auxiliary units (AUs) to suppress harmonics and ensure high-quality grid-connected current, effectively addressing resonance issues associated with LCL filters. Simulations and experimental results show that this scheme could eliminate the circulating current between the two units and effectively suppress the leakage current. © 2024 IEEE.

关键词： Switching frequency

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Data-driven control for nonlinear automated vehicles with multi-description coding for handling data dropouts 63

Data-driven control for nonlinear automated vehicles with mu...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zhang, Shuhua Ma, Lifeng Charalambous, Themistoklis Nanjing University of Science and Technology School of Automation Nanjing210094 China University of Cyprus School of Electrical Engineering Department of Electrical and Computer Engineering Nicosia1678 Cyprus Aalto University School of Electrical Engineering Department of Electrical Engineering and Automation Espoo Finland FinEst Centre for Smart Cities Tallinn Estonia

ISBN: (纸本)9798350316339

This paper proposes a data-driven control (DDC) strategy for nonlinear automated vehicles, employing a multidescription coding (MDC) mechanism based on scalar quantization to address the challenges of data dropouts and limited bandwidth in networked communication environments. The developed MDC-based communication protocol enhances system robustness by reducing the probability of data dropout. It achieves this by transmitting multiple descriptions of source data through diverse channels, incorporating quantization and index reassignment to efficiently alleviate bandwidth constraints. Based on the reconstructed real-time data, a novel data-driven controller and a parameter estimation algorithm are designed, offering adaptability to varying driving conditions and rapid response in dynamic environments. A numerical simulation showcases the potential of the proposed approach as a reliable and efficient solution for the speed problem in nonlinear automated vehicles with challenging communication environments. © 2024 IEEE.

关键词： Bandwidth

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A REVIEW OF PAVEMENT DEFECT DETECTION BASED ON VISUAL PERCEPTION

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2024年第17期2024卷 131-146页

作者： Yang, Chenchen Yang, Li Duan, Hailong Deng, Jingwei School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin300222 China

The inspection of roads for defects, as basic transportation infrastructure, is critical to maintain the efficient and safe operation of the transportation system. Visual perception-based pavement defect detection methods can efficiently and accurately identify pavement issues and provide data support for intelligent preventive maintenance. This paper summarizes the development of pavement defect detection technology, from feature extraction to automatic feature extraction. Deep learning-based pavement defect detection methods are analyzed and compared in three aspects: classification, object detection, and segmentation. By integrating recent research methods, the paper further reviews innovative approaches to pavement defect detection modeling in four areas: information flow models, Transformer models, attention mechanisms, and the application of 3D technology. Additionally, various defect types, pavement defect datasets, and defect detection systems are introduced. Finally, the paper provides an outlook on future trends and summarizes the key findings. © 2024, Cefin Publishing House. All rights reserved.

关键词： Preventive maintenance

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Process Monitoring Based on Temporal Feature Agglomeration and Enhancement

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 825-827页

作者： Xiao Liang Weiwu Yan Yusun Fu Huihe Shao Department of Automation the School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Automation the School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240 Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China

Dear Editor,This letter proposes a process-monitoring method based on temporal feature agglomeration and enhancement,in which a novel feature extractor called contrastive feature extractor(CFE)extracts the temporal and relational features among process *** the feature representations are enhanced by maximizing the separation among different classes while minimizing the scatter within each class.

关键词： among while letter

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