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Time-scheduled observer design for switched linear systems with unknown inputs

science China(Information sciences) 2022年第7期65卷 265-266页

作者： Shuang SHI Zhongyang FEI Xudong ZHAO College of Automation Engineering Nanjing University of Aeronautics and Astronautics Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology

Dear editor, Since uncertain disturbance, actuator faults and unmodeled dynamics can all be viewed as unknown inputs in various practical systems, the issue of unknown input observer design is of great significance. Meanwhile, switched systems have attracted extensive attention, which are prevailingly motivated by superior capabilities in modeling numerous practical systems possessing switching characteristics. Recently, the state observation for switched systems with unknown inputs has attracted considerable attention [1–5].

关键词： switched linear systems unknown inputs admissible edge-dependent average dwell-time multiple discontinuous Lyapunov-like functions observer design

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Machine learning for predicting fatigue properties of additively manufactured materials

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Chinese Journal of Aeronautics 2024年第4期37卷 1-22页

作者： Min YI Ming XUE Peihong CONG Yang SONG Haiyang ZHANG Lingfeng WANG Liucheng ZHOU Yinghong LI Wanlin GUO State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Shenyang Engine Research Institute Shenyang 110015China Liaoning Key Laboratory of Impact Dynamics on Aero Engine Shenyang 110015China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China

Fatigue properties of materials by Additive Manufacturing(AM) depend on many factors such as AM processing parameter, microstructure, residual stress, surface roughness, porosities, post-treatments, etc. Their evaluation inevitably requires these factors combined as many as possible, thus resulting in low efficiency and high cost. In recent years, their assessment by leveraging the power of Machine Learning(ML) has gained increasing attentions. A comprehensive overview on the state-of-the-art progress of applying ML strategies to predict fatigue properties of AM materials, as well as their dependence on AM processing and post-processing parameters such as laser power, scanning speed, layer height, hatch distance, built direction, post-heat temperature,etc., were presented. A few attempts in employing Feedforward Neural Network(FNN), Convolutional Neural Network(CNN), Adaptive Network-Based Fuzzy Inference System(ANFIS), Support Vector Machine(SVM) and Random Forest(RF) to predict fatigue life and RF to predict fatigue crack growth rate are summarized. The ML models for predicting AM materials' fatigue properties are found intrinsically similar to the commonly used ones, but are modified to involve AM features. Finally, an outlook for challenges(i.e., small dataset, multifarious features,overfitting, low interpretability, and unable extension from AM material data to structure life) and potential solutions for the ML prediction of AM materials' fatigue properties is provided.

关键词： Additive manufacturing Machine learning Fatigue life Fatigue crack growth rate Prediction

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Protective mechanism of quercetin compounds against acrylamide-induced hepatotoxicity

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Food science and Human Wellness 2024年第1期13卷 225-240页

作者： Linzi Li Xueying Lei Lin Chen Ya Ma Jun Luo Xuebo Liu Xinglian Xu Guanghong Zhou Xianchao Feng College of Food Science and Engineering Northwest A&F UniversityYangling 712100China College of Animal Science and Technology Northwest A&F UniversityYangling 712100China Synergetic Innovation Center of Food Safety and Nutrition Key Laboratory of Meat Processing and Quality ControlMinistry of EducationCollege of Food Science and TechnologyNanjing Agricultural UniversityNanjing 210095China

Quercetin compounds have antioxidant,anti-inflammatory and anticancer pharmacological *** exposure to acrylamide(AA)can cause liver injury and endanger human ***,whether quercetin compounds can attenuate AA-induced liver injury and the specific mechanism are not ***,we studied the mechanism and structure-activity relationship of quercetin compounds in reducing AA-induced hepatotoxicity in vivo and in *** vivo studies found that quercetin-like compounds protect against AAinduced liver injury by reducing oxidative stress levels,activating the Akt/m TOR signaling pathway to attenuate autophagy,and improving mitochondrial apoptosis and endoplasmic reticulum stress-mediated *** vitro studies found that quercetin compounds protected Hep G2 cells from AA by attenuating the activation of AA-induced autophagy,lowering reactive oxygen species(ROS)levels by exerting antioxidant effects and thus attenuating oxidative stress,increasing mitochondrial membrane potential(MMP),and improving apoptosis-related proteins,thus attenuating AA-induced ***,the conformational differences between quercetin compounds correlated with their protective capacity against AA-induced hepatotoxicity,with quercetin showing the best protective capacity due to its strongest antioxidant *** conclusion,quercetin compounds can protect against AA-induced liver injury through multiple pathways of oxidative stress,autophagy and apoptosis,and their protective capacity correlates with antioxidant activity.

关键词： Quercetin compounds Acrylamide Protection mechanism Oxidative stress Antioxidant activity

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Cutting force modeling in high-speed machining of selective laser melted Ti6Al4V alloys based on a modified constitutive model considering thermally activated effect

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science China(Technological sciences) 2025年第3期68卷 138-155页

作者： Dejian LIU Chenbing NI Youqiang WANG Lida ZHU Zhongpeng ZHENG Wei LU Naixin ZHANG Xingbao HUANG School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao266520China Key Lab of Industrial Fluid Energy Conservation and Pollution Control Ministry of EducationQingdao266520China School of Mechanical Engineering and Automation Northeastern UniversityShenyang110819China School of Mechanical Engineering Tsinghua UniversityBeijing100084China Shandong Zhongheng Jingxin Carbon Fiber Technology Development Co. LtdDezhou251100China State Key Laboratory of Bridge Safety and Resilience College of Civil EngineeringHunan UniversityChangsha410082China

The thermally activated effect can produce a vital influence on the mechanical property and cutting force of metal materials in the machining *** insight can be gained into the action criteria of the thermally activated effect on the cutting force,which provides a solid basis of the research of material performance and *** this study,a cutting force model of selective laser melted(SLMed)Ti6Al4V alloy is proposed by introducing the modified constitutive model with thermally activated effects and the analytical model of the deformation zone into the cutting force *** anisotropic properties of SLMed Ti6Al4V alloy under different scanning strategies(0°,67.5°,and 90°)are explored by combining with the cutting force model,constitutive model and analytical model of deformation zone(primary deformation and tool-chip contact area).The action of thermally activated effects on the cutting force,primary deformation and tool-chip contact zone is also researched in *** experiments and predictions of SLMed Ti6Al4V alloy under different scanning strategies have been implemented to reveal the effectiveness of this new *** comparison results indicate that the proposed milling force model can effectively predict milling force and reflect well on the anisotropy of SLMed Ti6Al4V *** addition,this proposed force model can well analyze the action mechanism of the thermally activated effect on the milling force of SLMed Ti6Al4V alloy,which is significantly essential for the machining mechanism research in terms of a microscopic perspective.

关键词： cutting force model modified constitutive model thermally activated effect SLMed Ti6Al4V alloy laser scanning strategies anisotropic properties

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A novel model for assessing the degree of intelligent manufacturing readiness in the process industry: process-industry intelligent manufacturing readiness index (PIMRI)

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Frontiers of Information technology & Electronic engineering 2023年第3期24卷 417-432页

作者： Lujun ZHAO Jiaming SHAO Yuqi QI Jian CHU Yiping FENG State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Zhejiang SUPCON Technology Co. Ltd.Hangzhou 310053China State Key Laboratory of Clean Energy Utilization Zhejiang UniversityHangzhou 310027China

Recently,the implementation of Industry 4.0 has become a new tendency,and it brings both opportunities and challenges to worldwide manufacturing ***,many manufacturing companies are attempting to find advanced technologies to launch intelligent manufacturing *** this study,we propose a new model to measure the intelligent manufacturing readiness for the process industry,which aims to guide companies in recognizing their current stage and short slabs when carrying out intelligent manufacturing *** some models have already been reported to measure Industry 4.0 readiness and maturity,there are no models that are aimed at the process *** newly proposed model has six levels to describe different development stages for intelligent *** addition,the model consists of four races,nine species,and 25 domains that are relevant to the essential businesses of companies’daily operation and capability requirements of intelligent ***,these 25 domains are divided into 249 characteristic items to evaluate the manufacturing readiness in detail.A questionnaire is also designed based on the proposed model to help process-industry companies easily carry out *** the new method,a case including 196 real-world process-industry companies is evaluated to introduce the method of how to use the proposed ***,the proposed model provides a new way to assess the degree of intelligent manufacturing readiness for process-industry companies.

关键词： Process industry Industry 4.0 Readiness model Intelligent manufacturing Readiness index

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Active site identification and engineering during the dynamic evolution of copper-based catalysts for electrocatalytic CO_(2) reduction

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science China Chemistry 2023年第1期66卷 78-95页

作者： Bangwei Deng Xueyang Zhao Yizhao Li Ming Huang Shihan Zhang Fan Dong Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 611731China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of EnvironmentZhejiang University of TechnologyHangzhou 310014China

To date,copper-based catalysts are one of the most prominent catalysts that can electrochemically reduce CO_(2)towards highvalue fuels or chemicals,such as ethylene,ethanol,and acetic ***,the chemically active feature of Cu-based catalysts hinders the understanding of the intrinsic catalytic active sites during the initial and the operative processes of electrochemical CO_(2)reduction(CO_(2)RR).The identification and engineering of active sites during the dynamic evolution of catalysts are thereby vital to further improve the activity,selectivity,and durability of Cu-based catalysts for high-performance CO_(2)*** this regard,four triggers for the dynamic evolution of catalysts were introduced in ***,three typical active-site theories during the dynamic reconstruction of catalysts were *** addition,the strategies in catalyst design were summarized according to the latest reports of Cu-based catalysts for CO_(2)RR,including the tuning of electronic structure,controlling of the external potential,and regulation of local catalytic ***,the conclusions and perspectives were provided to inspire more investigations and studies on the intrinsic active sites during the dynamic evolution of catalysts,which could promote the optimization of the catalyst system to further improve the performance of CO_(2)RR.

关键词： active site dynamic reconstruction copper-based catalysts electrochemical CO_(2)reduction local catalytic environment

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Enhanced methane production from waste activated sludge by potassium ferrate combined with thermal hydrolysis pretreatment

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Environmental science and Pollution Research 2024年第33期31卷 45862-45874页

作者： Guo, Bing Zeng, Jiachen Hao, Yuchi Hu, Jiawei Li, Zhuo State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science & ampEngineering Tongji University 1239 Siping Road Shanghai200092 China CCCC National Engineering Research Center of Dredging Technology and Equipment Co. Ltd. Shanghai200082 China

Anaerobic digestion of waste activated sludge (WAS) was one of the directions of sludge treatment, but how to effectively improve the production of methane as a resource product of anaerobic digestion of sludge still needs further research. The study examined how the combination of potassium ferrate (PF) and thermal hydrolysis (TH) pretreatment affected methane production from sludge. The results demonstrated a positive synergistic effect on methane production with PF-TH pretreatment. Specifically, by employing a 0.05 g/g TSS (total suspended solids) PF in conjunction with TH at 80 °C for 30 min, the methane yield increased from 170.66 ± 0.92 to 232.73 ± 2.21 mL/g VSS (volatile suspended solids). The co-pretreatment of PF and TH has been substantiated by mechanism studies to effectively enhance the disintegration and biodegradability of sludge. Additionally, the variation of microbial community revealed an enrichment of active microorganisms associated with anaerobic digestion after treated with PF + TH, resulting in a total abundance increase from 11.87 to 20.45% in the PF + TH group. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Anaerobic digestion

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Federated Learning With Meta-Layers Training for Privacy-Preserving in Vehicular Consumer Electronics

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IEEE Transactions on Consumer Electronics 2024年第1期71卷 621-629页

作者： Shen, Xiaoyang Li, Haibin Li, Yaqian Zhang, Wenming Alenazi, Mohammed J.F. Agarwal, Kadambri Yanshan University College of Electrical Engineering Hebei Qinhuangdao066000 China Key Laboratory of Industrial Computer Control Engineering of Hebei Province Hebei Qinhuangdao066000 China King Saud University College of Computer and Information Sciences Department of Computer Engineering Riyadh11451 Saudi Arabia ABES Engineering College Department of Computer Science and Engineering Ghaziabad201009 India

Vehicular consumer electronics, such as autonomous vehicles (AVs), need collecting large amounts of private user information, which face the risk of privacy leakage. To protect the privacy of consumers, researchers have proposed to apply federated learning (FL) to privacy-preserving vehicular consumer electronics, that is, leveraging FL for collaborative training of a decision model without exchanging the sensitive information generated by AVs. However, FL generally needs to exchange the gradients of client models periodically with the central server, which can be attacked by adversaries to infer user information. Thereby, it may still face the risk of privacy leakage. To solve that challenge, we put forward a novel FL framework, called FL with Meta-Layers Training (FL-MLT). Instead of exchanging the gradients of the client models, it exchanges, meta-layers with the central servers. Since meta-layers are only a slice of the client models, exchanging them helps protect privacy. On the other hand, they contain meta-knowledge to help the FL training process. In the experiments, we conduct extensive visual classification simulation to evaluate FL-MLT, and the experimental results demonstrate the superior performance of FL-MLT. © 1975-2011 IEEE.

关键词： Federated learning

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Biosynthetic CdS-Thiobacillus thioparus hybrid for solar-driven carbon dioxide fixation

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Nano Research 2023年第4期16卷 4531-4538页

作者： Guangyu Liu Feng Gao Hongwei Zhang Lei Wang Chao Gao Yujie Xiong Hefei National Laboratory for Physical Sciences at the Microscale and School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China Institute of Energy Hefei Comprehensive National Science Center350 Shushanhu Rd.Hefei 230031China State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China

Synergistically combining biological whole-cell bacteria with man-made semiconductor materials innovates the way for sustainable solar-driven CO_(2)fixation,showing great promise to break through the bottleneck in traditional chemical photocatalyst ***,most of the biohybrids require uneconomical organic nutrients and anaerobic conditions for the successful cultivation of the bacteria to sustain the CO_(2)fixation,which severely limits their economic viability and applicability for practical ***,we present an inorganic-biological hybrid system composed of obligate autotrophic bacteria Thiobacillus thioparus(***)and CdS nanoparticles(NPs)biologically precipitated on the bacterial surface,which can achieve efficient CO_(2)fixation based entirely on cost-effective inorganic salts and without the restriction of anaerobic *** optimized interface between CdS NPs and *** formed by biological precipitation plays an essential role for *** efficiently receiving photogenerated electrons from CdS NPs and thus changing the autotrophic way from chemoautotroph to *** a result,the *** biohybrid realizes the solar-driven CO_(2)fixation to produce multi-carbon glutamate synthase and biomass under visible-light irradiation with CO_(2)as the only carbon *** work provides significant inspiration for the further exploration of the solar-driven self-replicating biocatalytic system to achieve CO_(2)fixation and conversion.

关键词： biohybrids solar-driven CO_(2)fixation carbon cycle autotrophic bacteria Thiobacillus thioparus cadmium sulfide

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Tailoring the Microstructure and Mechanical Property of Mg-Zn Matrix Composite via the Addition of Al Element

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Acta Metallurgica Sinica(English Letters) 2024年第3期37卷 438-452页

作者： Chong Wang Fuyuan Liu Xuejian Wang Enyu Guo Zelong Du Kunkun Deng Zongning Chen Huijun Kang Guohao Du Tongmin Wang Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China School of Mechanical Engineering Guizhou UniversityGuiyang 550025China Ningbo Institute of Dalian University of Technology Ningbo 315000China Shanxi Key Laboratory of Advanced Magnesium-Based Materials College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuan 030024China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute CASShanghai 201204China

The semi-solid stir casting method is adopted to prepare 10 wt%SiC_(p)/Mg-6Zn-0.5Ca-xAl(x=0,1,3 and 5 wt%)composites,and the microstructure evolution and mechanical property of composites with various Al content are *** results show that the addition of 3 wt%Al improves the distribution of SiC_(p),whereas the SiC_(p) cluster occurs again with Al content greater than 3%.An abnormal phenomenon of twinning is observed in the cast composites in this *** SiC_(p)/Mg-6Zn-0.5Ca composite possesses the highest twin content of~23%,for which tension twins(TTW)and compression twins(CTW)account for~19%and~3%,*** CTW is only observed in ZXA600 *** addition of Al has an inhibiting effect for the generation and growth of *** content of twin decreases firstly and then increases with increase of Al *** lowest twin content is obtained as Al increases to 3 wt%.It is found the existence of twin is detrimental to the mechanical property of ***-cast SiC_(p)/Mg-6Zn-0.5Ca-3Al composite with the lowest twin content exhibits the optimal mechanical property of yield strength,ultimate tensile strength and elongation for 100 MPa,188 MPa and 4.4%,*** outstanding mechanical property is attributed to the uniform distribution of SiC_(p),the low twin content and the well-distributed fine second phases.

关键词： Mg matrix composite Synchrotron tomography Twinning Liquid melt processing Mechanical property

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