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Rethinking development and major research plans of Industrial Internet in China

Fundamental Research 2024年第1期4卷 3-7页

作者： Chunxiao Jiang Yang Cong Jiming Chen Chenghong Wang Guozheng Wu Ruizhen Zhao Zhiheng Wang Bin Xiao Ting Chen Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China Tsinghua Space Center Tsinghua UniversityBeijing 100084China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China Division III Department of Information SciencesNational Natural Science Foundation of ChinaBeijing 100085China Division II Department of Information SciencesNational Natural Science Foundation of ChinaBeijing 100085China Chongqing Key Laboratory of Image Cognition School of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqing 400065China University of Electronic Science and Technology of China Chengdu 611731China

This paper gives a definition of the Industrial Internet and expounds on the academic connotation of the future Industrial *** this foundation,we outline the development and current status of the Industrial Internet in China and ***,we detail the avant-garde paradigms encompassed within the National Natural science Foundation of China(NSFC)’s“Future Industrial Internet Fundamental Theory and Key Technologies”research plan and its corresponding management *** research initiative endeavors to enhance interdisciplinary collaborations,aiming for a synergistic alignment of industry,academia,research,and practical *** primary focus of the research plan is on the pivotal scientific challenges inherent to the future industrial *** is poised to traverse the“first mile”,encompassing foundational research and pioneering innovations specific to the industrial internet,and seamlessly bridges to the“last mile”,ensuring the effective commercialization of scientific and technological breakthroughs into tangible industrial market *** anticipated contributions from this initiative are projected to solidify both the theoretical and practical scaffolding essential for the cultivation of a globally competitive industrial internet infrastructure in China.

关键词： Industrial Internet Academic connotation Major research plan Scientific problem Policy advice

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Optimal Coordinated Scheduling of Electric Vehicles and Battery Energy Storage Systems

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IEEE Transactions on Consumer Electronics 2025年

作者： Shang, Xiao-Ju Mishra, Yateendra Yang, Yin Liu, Jin-Long Yu, Zu-Guo Tian, Yu-Chu School of Mathematics and Computational Science Xiangtan University Hunan411105 China National Center for Applied Mathematics in Hunan Xiangtan University Hunan411105 China School of Electrical Engineering and Robotics Queensland University of Technology GPO Box 2434 BrisbaneQLD4001 Australia School of Computer Science Queensland University of Technology GPO Box 2434 BrisbaneQLD4001 Australia

Electric vehicles (EVs) and battery energy storage systems (BESS) are rapidly gaining adoption worldwide as emerging consumer electronics products, playing an important role in the transition to sustainable energy. While their integration into power grids offers significant benefits when managed appropriately, it also introduces challenges related to grid stability and efficiency, such as increased peak demand and voltage fluctuations. Effective management of these challenges demands coordinated scheduling of EVs and BESS for both charging from the grid and discharging back into it. Various optimization approaches, including mixed-integer nonlinear programming (MINLP), have been proposed to tackle this problem. However, these approaches often involve numerous binary decision variables, which result in increased computational complexity or even make the computation practically infeasible in large-scale scenarios. To address this issue, this paper formulates the coordinated scheduling of EVs and BESS as a nonconvex constrained optimization problem with significantly fewer decision variables. A Modified Jacobi Proximal Alternating Direction Method of Multipliers (M-ProxJADMM) is proposed to efficiently solve the problem, with guaranteed convergence. Case studies are conducted to validate the effectiveness of the M-ProxJADMM algorithm in optimizing the coordinated scheduling of EVs and BESS. © 1975-2011 IEEE.

关键词： Battery storage

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Reliable Avionics Power System for Commercial Autonomous science (CAS) microrovers 73

Reliable Avionics Power System for Commercial Autonomous Sci...

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73rd International Astronautical Congress, IAC 2022

作者： Khurana, Saksham Schweitzer, Lydia Newman, Kyle J. Guevara, Emilio Department of Electrical and Computer Engineering Carnegie Mellon University 5000 Forbes Avenue PittsburghPA United States School of Computer Science Robotics Institute Carnegie Mellon University 5000 Forbes Avenue PittsburghPA United States Department of Mechanical Engineering Carnegie Mellon University 5000 Forbes Avenue PittsburghPA United States

The realm of planetary exploration is gravitating towards a smaller class of rover. These microrovers are technically and scientifically ambitious and offer high return on investment. With mission resource constraints and limited mass, size, power, and communications, these rovers must leverage light-weight yet robust power systems which enable autonomous exploration initiatives, environmental survivability, fault detection, isolation, recovery, and ultimately mission success. This paper presents methodology, design, analysis and results pertaining to the power system of MoonRanger, the first lunar microrover for measuring ice at the Moon's south pole on a NASA Commercial Lunar Payload Services (CLPS) mission. Radioisotope Thermoelectric Generator (RTG) power that pertains to large rovers is not viable for microrovers due to mass, budget and availability. Instead, the rover is equipped with a custom designed solar panel with 30.7% cell efficiency able to sustain the rover's battery system for a full lunar day. Coupled with 200 Wh of lithium ion battery power, the rover's power system supports autonomous exploration into darkness for up to 4 hrs of dark survival. This custom power system is a fraction of the mass and cost of a traditional rover. Power generated by the solar panel is distributed to the rest of the rover system via compartmentalized power switching groups. This compartmentalization improves fault isolation for the rover's on-board fault detection and mitigation system as well as for operators on Earth. For missions with lower budget and time, like MoonRanger, rigorous testing and purchasing of space-rated parts is not as feasible. This power system organization can also be used to isolate the various power switching groups allowing for simpler testing, integration, and operational mode configuration. This paper describes how the rover's solar panel attributes, power generation, analysis, distribution, and storage systems facilitate MoonRanger's ambitio

关键词： NASA

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Adaptive position tracking control of the lower limb exoskeleton robot with an uncertain dynamic model 18

Adaptive position tracking control of the lower limb exoskel...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Yuan, Ting Zhang, Chi Yi, Feng Lv, Pingping Li, Shupei Zhang, Meitong Ningbo University Ningbo Instituteof Materials Technology and Engineering Chinese Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo315201 China Chinese Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology and Engineering Ningbo315201 China University of Chinese Academy of Sciences Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences College of Materials Science and Opto-Electronic Technology Ningbo315201 China Hebei University of Science and Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences School of Electrical Engineering Ningbo315201 China

ISBN: (纸本)9798350312201

In this paper, an adaptive position control method combining proportional-derivative (PD) control, RBF neural network-based sliding mode (SM) control, and feedforward (FF) control, i.e., PD-FF-SM control, is proposed to deal with the dynamic uncertainties, disturbances, and slow response in lower limb exoskeleton robot system. The Lagrange method is utilized to establish dynamic models that ignore the uncertainties and disturbances in the swing phase and supporting phase. Then, the PD feedback controller is designed with a sliding surface function, to keep the system stable. The FF controller is adopted to improve the response by using dynamic models. And the RBF neural network-based SM controller is designed to compensate for the uncertainties and disturbances. The system's stability is verified by Lyapunov's theorem. The simulation results show that the proposed control method can effectively reduce the error of position tracking and response time with inaccurate dynamic modeling. © 2023 IEEE.

关键词： Sliding mode control

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Characteristic Mode Analysis of Nanostructures using Hydrodynamic Volume Integral Equation

Characteristic Mode Analysis of Nanostructures using Hydrody...

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Antennas and Propagation & USNC/URSI National Radio science Meeting

作者： Meruyert Khamitova Ran Zhao Doolos Aibek uulu Hakan Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China Department of Mathematics and Natural Sciences University of Central Asia (UCA) Naryn Kyrgyzstan

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

The characteristic mode analysis (CMA) is formulated and implemented for the hydrodynamic volume integral equation (HDVIE) that is used to mathematically model electromagnetic field interactions and conduction current dynamics on nanoantennas and nanoscatterers. The proposed method produces excitation-independent characteristic hydrodynamic currents and the corresponding modal significance curves, providing useful information that can be used to optimize the performance of a nanoantenna. Numerical results demonstrate the reliability and the applicability of the proposed approach.

关键词： Solid modeling Nanoantennas Integral equations Hydrodynamics Mathematical models Characteristic mode analysis Numerical models

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Mechanism of Threshold Voltage Instability in Double Gate α-IGZO Nanosheet TFT under Bias and Temperature Stress

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IEEE Journal of the Electron Devices Society 2024年 12卷 464-471页

作者： Aslam, Muhammad Chang, Shu-Wei Chen, Yi-Ho Lee, Yao-Jen Li, Yiming Lee, Wen-Hsi Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Electrical Engineering and Computer Science International Graduate Program National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electrical Engineering National Cheng Kung University Tainan City701401 Taiwan Institute of Pioneer Semiconductor Innovation Industry Academic Innovation School National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Hsinchu300093 Taiwan

Amorphous indium gallium zinc oxide (a-IGZO)-based thin film transistors (TFTs) are increasingly becoming popular because of their potential in futuristic applications, including CMOS technology. Given the demand for CMOS-compatible, ultra-scaled, reliable, and high-performing devices, we fabricate and analyze scaled-channel a-IGZO-TFTs with an optimal double-gate structure, a thin nanosheet-based channel, and an effective high- κ dielectric namely HfO2. The reliably reported double gate IGZO nanosheet TFTs (DG-IGZO-NS-TFTs) are tested under positive and negative bias stress at variant temperatures, and the resulting modulations are analyzed critically. The reported DG-IGZO-NSTFTs exhibit a negative side threshold voltage shift (Δ Vth) accompanied by an increase in Ion/Ion(0) under negative bias temperature stress (NBTS) at elevated temperatures, which indicates the presence of additional charges. An anomalous negative side shifting of the Vth is observed under positive bias temperature stress (PBTS), where diffused hydrogen atoms are identified as introducing excess n-type carriers into the channel and causing the observed Δ Vth. The spectroscopic analysis is performed to establish evidence for the assumed mechanisms, and the role of individual gates is investigated in the context of performance variance under temperature-bias stress. Moreover, the partial reversibility of the stress-induced degradation is experimentally established and methodically discussed. Overall, the reported results offer a comprehensive understanding of scaled-channel DG-NS-IGZO-TFTs, which help shape performance-enhancement strategies, control degradation mechanisms, and define appropriate application scenarios. © 2013 IEEE.

关键词： Thin film transistors

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Optimized Admittance Control for Manipulators Interacting with Unknown Environment 25

Optimized Admittance Control for Manipulators Interacting wi...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Kong, Haiyi Peng, Guangzhu Li, Guang Yang, Chenguang University Of Manchester Department Of Electrical And Electronic Engineering Oxford Rd ManchesterM13 9PL United Kingdom University Of The West Of England Bristol Robotics Laboratory BristolBS16 1QY United Kingdom School Of Automation Nanjing University Of Information Science And Technology Nanjing210044 China University Of Liverpool Department Of Computer Science LiverpoolL69 3BX United Kingdom

ISBN: (纸本)9798350340266

This paper considers the study scenario that the end-effector of a manipulator follows a desired trajectory and interacts with external environment. To maximize the interaction performance, admittance control is combined with adaptive dynamic programming (ADP). The optimal admittance parameters can be learned online without prior knowledge of the environment. A data-driven Hybrid Iteration is employed in the ADP, which can relax the initial stabilizing requirement and at the same time has a faster convergence rate compared with Value Iteration. In addition, a more accurate environment model is considered in the system control design, where a general iterative expression is proposed to describe the varying contour of the environment. At last, simulation and experimental studies are given to verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Manipulators

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Prototype design of an intelligent Internet of Things system combined green energy storage device

Prototype design of an intelligent Internet of Things system...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Ya-Chun Chen Hsien-Huang Peter Wu Kuo-Hsien Hsia Yung-Tsung Cheng Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Yunlin Taiwan Dept. of Electrical Engineering National Yunlin University of Science and Technology Yunlin Taiwan Bachelor Program in Intelligent Robotics National Yunlin University of Science and Technology Yunlin Taiwan Dept. of Electrical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

A set of miniature energy storage device through repurposing batteries and green power generation devices combined with an intelligent Internet of Things system is designed in this study. A large quantity of recycled and repurposed lithium batteries is applied as the core of the energy storage device; photovoltaic panels and minitype wind generators matching a wind-energy and solar-energy charge controller are used for charging batteries; and finally, an intelligent home Internet of Things system is utilized for monitoring and control. The experimental results reveal that the green power generation device appears longer effective charging time during the day, but could continuously generate electricity and store energy in the evening. The charging capacity is also larger than it simply using photovoltaic panels, and the intelligent home Internet of Things system could effectively monitor the power generation in a day and calculate carbon emissions. The prototype design results satisfy the expected function of an intelligent Internet of Things system combined green energy storage device.

关键词： Green energy Photovoltaic systems Wind energy generation Wind energy Green products Prototypes Companies

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PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions

PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds vi...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Shaohui Pan Yong Xu Ruotao Xu School of Computer Science and Engineering South China University of Technology Guangzhou China Peng Cheng Laboratory ShenZhen China Communication and Computer Network Laboratory of Guangdong Guangzhou China Institute of Super Robotics South China University of Technology Guangzhou China

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

Point cloud upsampling is a crucial technique for improving the performance of 3D data understanding, enabling the creation of dense and uniform point clouds from raw and sparse input data. However, most existing methods exhibit limitations in dealing with different scaling factors, either requiring multiple networks or producing unevenly distributed points. To tackle this issue, this paper proposes a deep learning method called PU-SDF, which consists of a local-feature-based signed distance function network (LSDF-network) and a 3D-grid query points generation module (GPGM). The proposed LSDF-network can perform point cloud upsampling at arbitrary rates and can be easily adapted to handle unseen datasets. Additionally, we propose the GPGM that generates uniform and unlimited query points in sparse voxel space with arbitrary resolution. Extensive qualitative and quantitative evaluations demonstrate the superior performance of the PU-SDF method, achieving state-of-the-art point cloud upsampling performance.

关键词： Point cloud compression Training Deep learning Three-dimensional displays

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A Joint Learning of Force Feedback of Robotic Manipulation and Textual Cues for Granular Materials Classification

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IEEE robotics and Automation Letters 2025年第7期10卷 7166-7173页

作者： Zeqing Zhang Guanqi Chen Wentao Chen Ruixing Jia Guanhua Chen Liangjun Zhang Jia Pan Peng Zhou Department of Computer Science The University of Hong Kong Hong Kong Centre for Garment Production Limited Hong Kong Hong Kong Southern University of Science and Technology Shenzhen China Robotics and Autonomous Driving Lab Baidu Research Mountain View CA USA School of Advanced Engineering The Great Bay University Dongguan China

Granular materials (GMs) are formed by a collection of particles. Even if their visual representation is straightforward, it can be seriously affected in the visually constrained environment. Based on frequency features observed in force signals, this paper proposes a non-visual classifier, GmClass, using the force feedback in the robot-granules interaction. Specifically, we transform the force sequences into the frequency domain and integrate them with high-dimensional textual information into a two-branch architecture for multimodal supervised contrastive learning (MSCL). This method achieves an 84.10% classification accuracy, surpassing traditional supervised learning by 10% and outperforming supervised contrastive learning by more than 40%, demonstrating the positive impact of adding text modality on classification, and when applied to a larger dataset, it attains an even higher 85.28% accuracy, further validating its effectiveness. Also, we demonstrate the performance of our approach in handling unseen particles and the generalization capability for varying data collection parameters.

关键词： Force Feature extraction Robots Probes Frequency-domain analysis Force feedback Contrastive learning Transforms Solids Frequency conversion

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