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

作者： Zhang, Jingyi Tao, Jili Xu, Hao Zhejiang University College of Control Science and Engineering Hangzhou China NingboTech University School of Information and Engineering Ningbo China

ISBN: (纸本)9798350312201

Hybrid electric vehicles (HEVs)HEV is an important branch of new energy vehicles, providing energy savings and reduced emissions by integrating multiple energy sources. However, a reasonable energy management strategy (EMS) is a prerequisite for the promotion and application of hybrid electric vehicles. Traditional EMSs can address specific tasks, limiting their adaptability to new scenarios. In this paper, we proposed a meta-EMS based on meta reinforcement learning algorithms, which can quickly adapt to new application scenarios. Experiments have shown that in the face of new HEVs, the proposed meta-EMS can achieve control performance similar to traditional reinforcement learning-based EMSs with only a few gradient steps. This approach offers a promising solution to develop adaptable and efficient energy management strategies for HEVs. © 2023 IEEE.

关键词： Reinforcement learning

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Machine learning-based detection of cervical spondylotic myelopathy using multiple gait parameters

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Biomimetic Intelligence & Robotics 2023年第2期3卷 30-40页

作者： Xinyu Ji Wei Zeng Qihang Dai Yuyan Zhang Shaoyi Du Bing Ji School of Control Science and Engineering Shandong UniversityJinan 250061China School of Physics and Electromechanical Engineering Longyan UniversityLongyan 364012China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong UniversityXi’an 710049China

Cervical spondylotic myelopathy(CSM)is the main cause of adult spinal cord dysfunction,mostly appearing in middle-aged and elderly ***,the diagnosis of this condition depends mainly on the available imaging tools such as X-ray,computed tomography and magnetic resonance imaging(MRI),of which MRI is the gold standard for clinical ***,MRI data cannot clearly demonstrate the dynamic characteristics of CSM,and the overall process is far from ***,this study proposes a new method using multiple gait parameters and shallow classifiers to dynamically detect the occurrence of *** the present study,45 patients with CSM and 45 age-matched asymptomatic healthy controls(HCs)were recruited,and a three-dimensional(3D)motion capture system was utilized to capture the locomotion ***,63 spatiotemporal,kinematic,and nonlinear parameters were extracted,including lower limb joint angles in the sagittal,coronal,and transverse ***,the Shapley Additive exPlanations(SHAP)value was utilized for feature selection and reduction of the dimensionality of features,and five traditional shallow classifiers,including support vector machine(SVM),logistic regression(LR),k-nearest neighbor(KNN),decision tree(DT),and random forest(RF),were used to classify gait patterns between CSM patients and *** the basis of the 10-fold cross-validation method,the highest average accuracy was achieved by SVM(95.56%).Our results demonstrated that the proposed method could effectively detect CSM and thus serve as an automated auxiliary tool for the clinical diagnosis of CSM.

关键词： Cervical spondylotic myelopathy Gait analysis Machine learning Shapley Additive exPlanations

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In-situ forming ultra-mechanically sensitive materials for high-sensitivity stretchable fiber strain sensors

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National science Review 2024年第6期11卷 254-263页

作者： Rouhui Yu Changxian Wang Xiangheng Du Xiaowen Bai Yongzhong Tong Huifang Chen Xuemei Sun Jing Yang Naoji Matsuhisa Huisheng Peng Meifang Zhu Shaowu Pan State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University MOE Key Lab of Disaster Forecast and Control in Engineering School of Mechanics and Construction Engineering Jinan University State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Institute of Fiber Materials and Devices Fudan University Department of Cardiology Shanghai Xuhui Central HospitalZhongshan-Xuhui Hospital Fudan University Research Center for Advanced Science and Technology and Institute of Industrial Science The University of Tokyo

Fiber electronics with flexible and weavable features can be easily integrated into textiles for wearable applications. However, due to small sizes and curved surfaces of fiber materials, it remains challenging to load robust active layers, thus hindering production of high-sensitivity fiber strain sensors. Herein, functional sensing materials are firmly anchored on the fiber surface in-situ through a hydrolytic condensation *** anchoring sensing layer with robust interfacial adhesion is ultra-mechanically sensitive, which significantly improves the sensitivity of strain sensors due to the easy generation of microcracks during stretching. The resulting stretchable fiber sensors simultaneously possess an ultra-low strain detection limit of 0.05%, a high stretchability of 100%, and a high gauge factor of 433.6, giving 254-folds enhancement in sensitivity. Additionally, these fiber sensors are soft and lightweight, enabling them to be attached onto skin or woven into clothes for recording physiological signals, e.g. pulse wave velocity has been effectively obtained by them. As a demonstration, a fiber sensor-based wearable smart healthcare system is designed to monitor and transmit health status for timely intervention. This work presents an effective strategy for developing high-performance fiber strain sensors as well as other stretchable electronic devices.

关键词： fiber strain sensor stretchable wearable healthcare

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Review on the abiotic degradation of biodegradable plastic poly(butylene adipate-terephthalate):Mechanisms and main factors of the degradation

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Chinese Chemical Letters 2025年第1期36卷 158-164页

作者： Haibo Ye Qianyu Li Juan Li Didi Li Zhimin Ao Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlInstitute of Environmental Health and Pollution ControlGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of EducationSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China Advanced Interdisciplinary Institute of Environment and Ecology Beijing Normal UniversityZhuhai 519087China School of Environment Beijing Normal UniversityBeijing 100875China

Poly(butylene adipate-terephthalate)(PBAT),as one of the most common and promising biodegradable plastics,has been widely used in agriculture,packaging,and other industries due to its strong biodegradability *** is well known that PBAT suffers a series of natural weathering,mechanical wear,hydrolysis,photochemical transformation,and other abiotic degradation processes before being ***,it is particularly important to understand the role of abiotic degradation in the life cycle of *** the abiotic degradation of PBAT has not been systematically summarized,this review aims to summarize the mechanisms and main factors of the three major abiotic degradation pathways(hydrolysis,photochemical transformation,and thermochemical degradation)of *** was found that all of them preferentially destroy the chemical bonds with higher energy(especially C-O and C=O)of PBAT,which eventually leads to the shortening of the polymer chain and then leads to reduction in molecular *** main factors affecting these abiotic degradations are closely related to the energy or PBAT *** findings provide important theoretical and practical guidance for identifying effective methods for PBAT waste management and proposing advanced schemes to regulate the degradation rate of PBAT.

关键词： Biodegradable plastics PBAT Abiotic degradation Degradation mechanism

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Identification of Important FPGA Modules Based on Complex Network

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Computers, Materials & Continua 2024年第1期78卷 1027-1047页

作者： Senjie Zhang Jinbo Wang Shan Zhou Jingpei Wang Zhenyong Zhang Ruixue Wang School of Aeronautics and Astronautics University of Chinese Academy of SciencesBeijing101408China Technology and Engineering Center for Space Utilization Chinese Academy of SciencesBeijing100094China College of Control Science and Engineering Zhejiang UniversityHangzhou310063China College of Computer Science and Technology Guizhou UniversityGuiyang550025China

The globalization of hardware designs and supply chains,as well as the integration of third-party intellectual property(IP)cores,has led to an increased focus from malicious attackers on computing ***,existing defense or detection approaches often require additional circuitry to perform security verification,and are thus constrained by time and resource *** the scale of actual engineering tasks and tight project schedules,it is usually difficult to implement designs for all modules in field programmable gate array(FPGA)*** studies have pointed out that the failure of key modules tends to cause greater damage to the ***,under limited conditions,priority protection designs need to be made on key modules to improve protection *** have conducted research on FPGA designs including single FPGA systems and multi-FPGA systems,to identify key modules in FPGA *** the single FPGA designs,considering the topological structure,network characteristics,and directionality of FPGA designs,we propose a node importance evaluationmethod based on the technique for order preference by similarity to an ideal solution(TOPSIS)***,for the multi-FPGA designs,considering the influence of nodes in intra-layer and inter-layers,they are constructed into the interdependent network,and we propose a method based on connection strength to identify the important ***,we conduct empirical research using actual FPGA designs as *** results indicate that compared to other traditional indexes,node importance indexes proposed for different designs can better characterize the importance of nodes.

关键词： Hardware security FPGA circuits node importance interdependent network

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Constructing high-biosecurity MoS_(2)-based anodes for rapid and efficient lithium storage

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Nano Research 2025年第2期18卷 358-366页

作者： Yixin Wang Ruxia Qiao Xueying Zheng Wangyan Wu Hao Yang Stephanie Ling Jie Lee Jian Peng Jinyu Rong Wei Luo Sijie Lin College of Environmental Science and Engineering Biomedical Multidisciplinary Innovation Research InstituteShanghai East HospitalTongji UniversityShanghai 200092China Key Laboratory of Yangtze River Water Environment Shanghai Institute of Pollution Control and Ecological SecurityTongji UniversityShanghai 200092China Institute of New Energy for Vehicles School of Materials Science and EngineeringTongji UniversityShanghai 201804China

Lithium-ion batteries that integrate electrochemical performance and safety considerations offer advantages to curb the reliance on fossil fuels while minimizing the potential environmental *** metal disulfides and metal oxides with high specific capacity are promising candidates as anodes for lithium ***,neither the layered structure of MoS_(2) nor the powder form of In_(2)O_(3) is ideal for battery prolonged ***,we demonstrated a low-toxicity anode designed with hollow fibers to regulate the MoS_(2) contact surface,significantly reducing biotoxicity and enhancing Lit *** functional theory(DFT)calculations revealed that the interactions among MoS_(2),In_(2)O_(3),and the hollow structure lowered the Li-ion migration energy barrier hence fastening the ***,the MoS_(2)-containing fiber showed significantly decreased toxicity in zebrafish embryos compared to MoS_(2) alone,demonstrating a proof-of-principle of integrating functional nanomaterials into flexible fiber structures to improve both electrochemical performance and safety.

关键词： electrospun fibers Li-ion battery MoS_(2) In_(2)O_(3) hollow fiber low-toxicity anode

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Digital Twin-Driven Degradation Modeling Method for control Moment Gyroscope Health Management 9

Digital Twin-Driven Degradation Modeling Method for Control ...

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9th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2023

作者： Cui, Runhao Huang, Xucong Zhang, Peng Tang, Diyin Beihang University School of Automation Science and Electrical Engineering Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350333794

Prognosis and health management (PHM) of control moment gyroscope (CMG) plays a crucial role in ensuring the operational efficiency and safety of spacecraft. In order to improve the accuracy of PHM and supplement abundant monitoring data, this paper proposes a digital twin-driven degradation modeling method, which establishes a detailed simulation model based on degradation mechanisms at the CMG component level. The digital twin model not only provides a large amount of high-quality data for performance evaluation, but also serves as an important reference for on-orbit CMG state assessment. Finally, a case of estimating virtual sensor degradation information based on reinforcement learning is used to demonstrate the effectiveness of the proposed digital twin method. © 2023 IEEE.

关键词： Gyroscopes

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Optimization control Strategy for Stability and Response Speed of Permanent Magnet Synchronous Motor System Based on Self Disturbance Rejection 19th

Optimization Control Strategy for Stability and Response Spe...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Li, Yingchun Xu, Tianpu Zhao, Chenxin Relay Protection Laboratory of Shaanxi University of Science and Technology Xi’an710021 China School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi’an710021 China

ISBN: (纸本)9789819613823

In response to the problems of traditional PMSM speed-current double closed-loop PI control system with easy overshoot of speed response and long dynamic time in the dynamic link, as well as large speed fluctuation after sudden load application in the steady-state link, a speed loop controller based on active disturbance rejection control strategy is adopted to replace the PI controller, and the second-order active disturbance rejection controller used is improved. A variable structure is adopted to allow the extended state observer ESO to observe the input error of the active disturbance rejection controller, Re derive and construct the observer and disturbance compensation loop to further improve the stability of the PMSM control system and accelerate response speed compared to traditional active disturbance rejection controllers within a reasonable range of parameters. Simulate modeling using Simulink and build a hardware experimental platform for theoretical verification. Compare the speed response of traditional second-order active disturbance rejection controller and improved second-order active disturbance rejection controller under the conditions of unified controlled object and unified input signal, respectively. Finally, it is concluded that the improved active disturbance rejection controller has faster response speed, smaller overshoot, and better stability in the PMSM control system. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Disturbance rejection

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Distribution, traceability, and risk assessment of organophosphate flame retardants in agricultural soils along the Yangtze River Delta in China

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Environmental science and Pollution Research 2024年第28期31卷 41013-41024页

作者： Han, Yongxiang Zhao, Jiating Li, Zhiheng Zhu, Lizhong Department of Environmental Science Zhejiang University Hangzhou310058 China Zhejiang Provincial Key Laboratory of Organic Pollution Process and Control Hangzhou310058 China School of Environmental Science and Engineering Zhejiang Gongshang University Hangzhou Zhejiang310018 China

Abstract: Severe pollution threatens the ecosystem and human health in the Yangtze River Delta (YRD) in China because of the rapid development of industry in this area. This study examines the types, distribution, concentration, and origin of fourteen typical organophosphate flame retardants (OPFRs) in agricultural soils within the YRD region to offer insights for pollutant control and policy-making. The total concentration of OPFRs (ΣOPFRs) varied between 79.19 and 699.58 μg/kg dry weight (dw), averaging at 209.61 μg/kg dw. Among the OPFRs detected, tributoxyethyl phosphate (TBEP) was identified as the main congener, followed by tri-n-butyl phosphate (TnBP), tris(2-chloroisopropyl) phosphate (TCPP), and trimethyl phosphate (TMP). Source analysis, conducted through correlation coefficients and PCA, indicated that OPFRs in agricultural soils within the YRD region mainly originate from emissions related to plastic products and transportation. The health risk exposure to ΣOPFRs in agricultural soil was considered negligible for farmers, with values below 1.24 × 10-2 and 1.76 × 10-9 for noncarcinogenic and carcinogenic risks, respectively. However, the ecological risk of ΣOPFRs in all the samples ranged from 0.08–1.08, indicating a medium to high risk level. The results offer a comprehensive understanding of OPFR pollution in agricultural soils in the YRD region and can be useful for pollution control that mitigates ecological and health risks in this region. Graphical abstract: (Figure presented.) © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Risk assessment

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Digital Twin System for Home Service Robot Based on Motion Simulation

Digital Twin System for Home Service Robot Based on Motion S...

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2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

作者： Jiang, Zhengsong Tian, Guohui Cui, Yongcheng Liu, Tiantian Gu, Yu Wang, Yifei School of Control Science and Engineering Shandong University Jinan China School of Information University of California Berkeley United States

ISBN: (纸本)9781665430654

In order to improve the task execution capability of home service robot, and to cope with the problem that purely physical robot platforms cannot sense the environment and make decisions online, a method for building digital twin system for home service robot based on motion simulation is proposed. A reliable mapping of the home service robot and its working environment from physical space to digital space is achieved in three dimensions: geometric, physical and functional. In this system, a digital space-oriented URDF file parser is designed and implemented for the automatic construction of the robot geometric model. Next, the physical model is constructed from the kinematic equations of the robot and an improved particle swarm optimization algorithm is proposed for the inverse kinematic solution. In addition, to adapt to the home environment, functional attributes are used to describe household objects, thus improving the semantic description of the digital space for the real home environment. Finally, through geometric model consistency verification, physical model validity verification and virtual-reality consistency verification, it shows that the digital twin system designed in this paper can construct the robot geometric model accurately and completely, complete the operation of household objects successfully, and the digital twin system is effective and practical. © 2023 IEEE.

关键词： Digital Twin Motion Simulation Particle Swarm Optimization Algorithm Service Robot

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