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Chinese control and Decision Conference, CCDC

作者： Jie Hou Xianlin Zeng Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665478977

We consider a two-network saddle-point problem with constraints, whose projections are expensive. We propose a projection-free algorithm, which is referred to as Distributed Frank-Wolfe Saddle-Point algorithm (DFWSP), which combines the gradient tracking technique and Frank-Wolfe technique. We prove that the algorithm achieves O(1/k 2 ) convergence rate for strongly-convex-strongly-concave saddle-point problems. We empirically shows that the proposed algorithm has better numerical performance than the distributed projected saddle-point algorithm.

关键词： Distributed computing Optimization Convergence

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考虑装配误差影响的齿轮副啮合特性优化（英文）

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Journal of Central South University 2025年第4期32卷 1400-1430页

作者：赵晓剑马辉马泽宇刘家奇曹鹏吴玉萍丁相符赵天宇 School of Mechanical Engineering and Automation Northeastern University Key Laboratory of Vibration and Control of Aero-Propulsion Systems of Ministry of Education Northeastern University AECC Hunan Aviation Powerplant Research Institute School of Science Northeastern University

齿轮装配误差会导致系统振动和噪声增大，影响系统的稳定性。这种影响可以通过齿轮微观修形得到补偿。首先，提出了一种考虑微观修形和耦合装配误差的改进三维轮齿加载接触分析(3D-LTCA)方法，并利用MASTA软件以及三个案例验证了该方法... 详细信息

齿轮装配误差会导致系统振动和噪声增大，影响系统的稳定性。这种影响可以通过齿轮微观修形得到补偿。首先，提出了一种考虑微观修形和耦合装配误差的改进三维轮齿加载接触分析(3D-LTCA)方法，并利用MASTA软件以及三个案例验证了该方法的准确性；其次，基于BP神经网络建立修形参数与啮合力学参数之间映射的代理模型(SM)，验证其有效性性，并将建立的代理模型与常用的Kriging、支持向量回归(SVR)、多项式回归响应面法(RSM)等代理模型进行了对比，从而进一步说明了本文代理模型的优越性；最后，引入SM建立以啮合刚度波动最小和啮合表面载荷分布更均匀为目标的优化模型。结果表明，即使考虑网络训练时间，通过代理模型优化齿轮副的效率仍远高于LTCA方法。优化后，带耦合装配误差的齿轮副的啮合刚度波动减小了34.10%，啮合面左右区域的平均接触应力差减小了62.84%。

关键词：斜齿轮啮合特性轮齿修形装配误差神经网络多目标优化

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GAS-LIQUID COUPLING ATTENUATOR ARRAY FOR FLUID PULSATION IN VARIABLE PRESSURE HYDRAULIC systems

GAS-LIQUID COUPLING ATTENUATOR ARRAY FOR FLUID PULSATION IN ...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Yang, Haodong Xu, Yuanzhi Wang, Renyuan Liao, Jian Zhou, Fuming Yu, Shuai Zhang, Hongbo Jiao, Zongxia School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Key Laboratory of Advanced Airborne Systems Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Tianmushan Laboratory Hangzhou310023 China Institute of Vibration and Noise Naval University of Engineering Wuhan430033 China State Key Laboratory of Ship Vibration and Noise Wuhan430033 China Shanghai Hunter Hydraulic Control. Technology-Co. Ltd Shanghai201612 China CSSC-No. 704-Research-Institution Shanghai200031 China

The pressure pulsation of variable pressure hydraulic system has the characteristics of wide range and wide frequency band, aiming at the pressure pulsation suppression demand of this system, this paper proposes a wide-pressure and wide-frequency gas-liquid coupling attenuator array structure. This structure utilizes the gas-liquid coupling principle to absorb pulsation, achieving complete coverage of the system's variable pressure range in the time domain and broadening the optimal pulsation absorbing frequency band in the frequency domain through the simultaneous use of multiple attenuators pre-charged with different pressure gases. This paper analyses the principle of gas-liquid coupling for absorbing flow pulsation, establishes a mathematical model of the device, studies the frequency-domain impedance characteristics of the structure using the impedance method, and utilizes the simulation software AMESim to investigate the impact of the array structure on the pulsation attenuation capabilities in the time and frequency domains. The simulation results are analysed to verify the wide-pressure and wide-frequency characteristics of the proposed array structure. © The Institution of Engineering & Technology 2024.

关键词： Frequency domain analysis

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The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure

arXiv

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arXiv 2024年

作者： Yu, Jingru Yu, Yi Wang, Xuhong Lin, Yilun Yang, Manzhi Qiao, Yu Wang, Fei-Yue Shanghai Artificial Intelligence Laboratory Shanghai200240 China The Macau Institute of Systems Engineering Macau University of Science and Technology China Eversec Technology Company Ltd. Beijing100080 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

Social engineering (SE) attacks remain a significant threat to both individuals and organizations. The advancement of Artificial Intelligence (AI), including diffusion models and large language models (LLMs), has potentially intensified these threats by enabling more personalized and convincing attacks. This survey paper categorizes SE attack mechanisms, analyzes their evolution, and explores methods for measuring these threats. It highlights the challenges in raising awareness about the risks of AI-enhanced SE attacks and offers insights into developing proactive and adaptable defense strategies. Additionally, we introduce a categorization of the evolving nature of AI-powered social engineering attacks into"3E phases": Enlarging, wherein the magnitude of attacks expands through the leverage of digital media;Enriching, introducing novel attack vectors and techniques;and Emerging, signifying the advent of novel threats and methods. Moreover, we emphasize the necessity for a robust framework to assess the risk of AI-powered SE attacks. By identifying and addressing gaps in existing research, we aim to guide future studies and encourage the development of more effective defenses against the growing threat of AI-powered social engineering. Copyright © 2024, The Authors. All rights reserved.

关键词： Artificial intelligence

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Design and Implementation of OpenWSN Hardware Platform 2

Design and Implementation of OpenWSN Hardware Platform

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2nd International Conference on Algorithms, High Performance Computing and Artificial Intelligence, AHPCAI 2022

作者： Zhang, Shusheng Xie, Chuang Liu, Jun Zhao, Chun Yang, Zhijia Mao, Jizhi College of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (纸本)9798350334784

This paper proposes a new wireless sensor network hardware platform based on OpenWSN project launched by the University of California, Berkeley. The hardware platform's processor uses a 32-bit microcontroller (STM32F103RCT6) produced by STMicroelectronics (ST), and the wireless module uses the WISA470 chip. The final experimental results show that this platform can support the Open WSN project very well. © 2022 IEEE.

关键词： Wireless sensor networks

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Joining Edge-Enabled Metaverse Services with Network Externality: A Stackelberg Game Approach

Joining Edge-Enabled Metaverse Services with Network Externa...

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2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Jiang, Yuna Kang, Jiawen Niyato, Dusit Ge, Xiaohu Xiong, Zehui Xu, Minrui Deng, Ruilong Huazhong University of Science and Technology School of Electronic Information and Communications Wuhan China Guangdong University of Technology School of Automation Guangzhou China Nanyang Technological University School of Computer Science and Engineering Singapore Singapore University of Technology and Design Pillar of Information Systems Technology and Design Singapore Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China Shenzhen Huazhong University of Science and Technology Research Institute China

ISBN: (纸本)9798350333336

The metaverse is defined as a three-dimensional virtual-real fusion network focused on social connection. Edge computing can empower the metaverse by providing computing resources to realize real-time motion tracking, visual or auditory rendering and virtual scene dynamic change at the edge of networks. Users enjoy the immersive experience provided by the Metaverse Service Provider (MSP), and interact through digital avatars in the virtual world by requesting metaverse services. In this paper, we formulate the edge computing resources pricing, metaverse service rendering bitrate pricing and request problem in the metaverse. Especially, we model the interactions among edge servers, the MSP and Metaverse Service Users (MSUs) as a hierarchical three-stage Stackelberg game. The problem of joining edge-enabled metaverse services is also studied with the consideration of network externality, including the network effect and congestion effect. Based on the backward induction method, we derive the optimal computing resources pricing of edge servers, rendering bitrate pricing of the MSP, and rendering bitrate requests of MSUs. We also prove the existence and uniqueness of the Stackelberg game equilibrium. Simulation results show that the network effect can bring more positive utilities to entities when the social tie coefficient among MSUs is higher. Besides, all entities in the edge-enabled metaverse are affected negatively by the congestion effect. © 2023 IEEE.

关键词： Edge computing

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Calculation of Compositional Maps of Sea Surface Temperature from IR Measurements of US Satellites

Calculation of Compositional Maps of Sea Surface Temperature...

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Ocean Studies (ICOS), International Conference on

作者： Marina Aleksanina Sergey Dyakov Anastasia Ershova Satellite Monitoring Laboratory of IACP FEB RAS Institute of Automation and Control Processes Far Eastern Branch of the Russian Academy of Sciences Vladivostok Russia Institute of Mathematics and Computer Technologies Far Eastern Federal University Vladivostok Russia

ISBN: (数字)9798331532307

ISBN: (纸本)9798331532314

The work is devoted to approbation of a methodology for constructing and verifying composite maps of sea surface temperature (SST) with the preservation of thermal fronts. The equatorial part of the Northwestern Pacific Ocean region, characterized by weak temperature contrasts, significant clouds and high concentrations of water vapor, was chosen as the area for testing. Satellite and sub-satellite measurements were extracted from international databases. It is shown that the use of map provided by international databases based on a single satellite session requires additional cloud filtering. The developed composite maps are compared with their analogues. The advantage of the proposed approach is shown. A comparison of the temperatures of composite one-day maps and buoy measurements shows the accuracy of calculations within 0.6°C. The linear relationship has a slope coefficient close to one and a free term that does not exceed the accuracy of calculations.

关键词： Temperature measurement Temperature sensors Satellites Accuracy Filtering Databases Clouds Sea measurements Sea surface temperature Testing

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Lane-Change Intention Prediction of Surrounding Vehicles Using BiLSTM-CRF Models with Rule Embedding

Lane-Change Intention Prediction of Surrounding Vehicles Usi...

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Chinese automation Congress (CAC)

作者： Kai Wang Jie Hou Xianlin Zeng Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing China

Predicting lane-change intentions of surrounding vehicles can effectively help autonomous vehicles reduce collisions caused by lane changes and ensure driving safety. Because prediction methods based on black-box models will lead to passengers’ distrust of machine prediction, the intention prediction methods used to autonomous driving need to be interpretable and trustworthy. This paper presents a method for intention prediction of surrounding vehicles by using a bidirectional long short term memory network (BiLSTM) with a conditional random field (CRF) layer above it. Compared with intention prediction methods using deep network, the proposed method can find the features that contribute most to the prediction, thereby improving the interpretability and ensuring the prediction performance. In addition, by employing the transfer characteristic of the CRF layer, traffic rules and the experience of skilled drivers can be embedded to the prediction in the form of rules. Use rules to constrain the intention prediction, thereby improving the trustworthiness of prediction results. Test results on naturalistic driving dataset show that the proposed method can predict the lane-change intention with an accuracy of 97.22%, which is higher than that of Bi-LSTM.

关键词： Training Road transportation Knowledge engineering Predictive models Safety Autonomous vehicles Standards

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A comprehensive review of electrochemical hybrid power supply systems and intelligent energy managements for unmanned aerial vehicles in public services

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Energy and AI 2022年第3期9卷 148-171页

作者： Caizhi Zhang Yuqi Qiu Jiawei Chen Yuehua Li Zhitao Liu Yang Liu Jiujun Zhang Chan Siew Hwa College of Mechanical and Vehicle Engineering The State Key Laboratory of Mechanical TransmissionsChongqing Automotive Collaborative Innovation CentreChongqing UniversityChongqing400044China College of Automation Chongqing UniversityKey Laboratory of Complex System Safety and ControlMinistry of EducationChongqing UniversityChongqing400044China School of Mechanical Engineering University of Science and Technology BeijingBeijing100083China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou310027China Institute for Sustainable Energy/College of Sciences Shanghai UniversityShanghai 200444China School of Mechanical and Aerospace Engineering Nanyang Technological University50 Nanyang Avenue639798Singapore Sichuan Energy Internet Research Institute Tsinghua UniversityChengdu 610213Sichuan ProvinceChina

The electric unmanned aerial vehicles (UAVs) are rapidly growing due to their abilities to perform some difficult or dangerous tasks as well as many public services including real-time monitoring, wireless coverage, search and rescue, wildlife surveys, and precision agriculture. However, the electrochemical power supply system of UAV is a critical issue in terms of its energy/power densities and lifetime for service endurance. In this paper, the current power supply systems used in UAVs are comprehensively reviewed and analyzed on the existing power configurations and the energy management systems. It is identified that a single type of electrochemical power source is not enough to support a UAV to achieve a long-haul flight;hence, a hybrid power system architecture is necessary. To make use of the advantages of each type of power source to increase the endurance and achieve good performance of the UAVs, the hybrid systems containing two or three types of power sources (fuel cell,battery, solar cell, and supercapacitor,) have to be developed. In this regard, the selection of an appropriate hybrid power structure with the optimized energy management system is critical for the efficient operation of a UAV. It is found that the data-driven models with artificial intelligence (AI) are promising in intelligent energy management. This paper can provide insights and guidelines for future research and development into the design and fabrication of the advanced UAV power systems.

关键词： Unmanned aerial vehicles(UAVs) Power supply system Fuel cell system Artificial intelligence(AI) Energy management systems

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Stable control and Disturbance Rejection Strategy for Planar 2R Underactuated Robot via Intelligent Algorithm 48

Stable Control and Disturbance Rejection Strategy for Planar...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Huang, Zixin Wan, Xiao Zhou, Yaosheng Wang, Lejun Wang, Liheng School of Electrical and Information Engineering Wuhan Institute of Technology Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan Institute of Technology School of Electrical and Information Engineering Wuhan China Wuhan Institute of Technology School of Innovation and Entrepreneurship Wuhan China Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Stable control and active disturbance rejection strategy is proposed for planar 2R underactuated robot via intelligent algorithm in this paper. At first, we build the dynamic model and describe the control characteristic. After that, we design PD controller for the active link. According to the underactuated constraint, we then optimize the parameters of controller by using the differential evolution algorithm (DEA), so that we can ensure the target states of all links could eventually be reached at the identical time. And the simulation results indicate the strategy is effective. © 2022 IEEE.

关键词： Disturbance rejection

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