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Journal of Iron and Steel Research International 2024年第3期31卷 660-669页

作者： Shuang liu Chen Du Cong Zhang zhen-hua Bai Key.Lab of Industrial Computer Control Engineering of Hebei Province Yanshan UniversityQinhuangdao 066004HebeiChina National Engineering Research Center for Equipment and Technology.of Cold Strip Rolling Yanshan UniversityQinhuangdao 066004HebeiChina

An anti-saturation fault-tolerant adaptive torsional vibration control method with fixed-time prescribed performance for the rolling mill main drive sy.tem(RMMDS)was investigated,which is affected by.control input saturation,actuator faults,sensor measurement errors,and parameter ***,we gave a continuously.differentiable saturation function to approximate the control input saturation characteristic of the RMMDS,translating the saturation characteristic into the matched uncertainty.and unknown time-vary.ng gain in the ***,an RMMDS mathematical model with unmatched uncertainty.and unknown time-vary.ng gain was developed,taking into account the presence of control input saturation,actuator faults,sensor measurement errors,and parameter *** on the established mathematical model,an error transformation model of the roll speed tracking was constructed by.the equivalent error transformation *** to the error transformation model,a barrier Ly.punov function and a novel adaptive controller were studied to ensure that the roll speed tracking error alway. evolves inside a fixed-time asy.metric ***,numerical simulations were performed in Matlab/Simulink to verify.the effectiveness and superiority.of the proposed control method in suppressing the RMMDS torsional vibration.

关键词： Fixed-time prescribed performance Control input saturation Actuator fault Unknown time-vary.ng gain Adaptive control Asy.metric constraint

Revisiting the island of hexadecapoledeformation nuclei in the A≈150 mass region:focusing on the model application to nuclear shapes and masses

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Communications in Theoretical Phy.ics 2024年第2期76卷 74-88页

作者： Xiao-y.ng Wei Hua-Lei Wang zhen-zhen Zhang Min-Liang liu School of Phy.ics and Microelectronics Zhengzhou UniversityZhengzhou 450001China Key.Laboratory.of High Precision Nuclear Spectroscopy Institute of Modern PhysicsChinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China

Based on the potential-energy.surface calculation,the impact of different deformation degrees of freedom on a single-particle structure and binding energies in nuclei around^(152)Nd,located on one of the hexadecapole-deformation islands,is analy.ed in a multi-dimensional deformation *** energy.maps,curves and tables are presented to indicate nuclear *** calculated equilibrium deformations and binding energies with different potential parameters are compared with experimental data and other *** is found that the inclusion of the hexadecapole deformations,especially.the axial one,can improve the theoretical description of both nuclear shapes and *** addition,our calculated potential-energy.curve shows that a critical deformation-point,β_(2)≈0.4,exists—the triaxial(hexadecapole)deformation effect can be neglectable but the hexadecapole(triaxial)one play. an important role before(after)such a critical point.

关键词： hexadecapole deformation binding energy potential-energy.surface calculation nuclear property

Unified Classification and Rejection:A One-versus-all Framework

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Machine Intelligence Research 2024年第5期21卷 870-887页

作者： zhen Cheng Xu-y.o Zhang Cheng-Lin liu State Key.Laboratory.of Multimodal Artificial Intelligence Sy.tems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing100049China

Classify.ng patterns of known classes and rejecting ambiguous and novel(also called as out-of-distribution(OOD))inputs are involved in open world pattern *** neural network models usually.excel in closed-set classification while perform poorly.in rejecting OOD *** tackle this problem,numerous methods have been designed to perform open set recognition(OSR)or OOD rejection/detection *** methods mostly.take post-training score transformation or hy.rid models to ensure low scores on OOD inputs while separating known *** this paper,we attempt to build a unified framework for building open set classifiers for both classification and OOD *** formulate the open set recognition of K-known-class as a(K+1)-class classification problem with model trained on known-class samples *** decomposing the K-class problem into K one-versus-all(OVA)binary.classification tasks and binding some parameters,we show that combining the scores of OVA classifiers can give(K+1)-class posterior probabilities,which enables classification and OOD rejection in a unified *** maintain the closed-set classification accuracy.of the OVA trained classifier,we propose a hy.rid training strategy.combining OVA loss and multi-class cross-entropy.*** implement the OVA framework and hy.rid training strategy.on the recently.proposed convolutional prototy.e network and prototy.e classifier on vision transformer(ViT)*** on popular OSR and OOD detection datasets demonstrate that the proposed framework,using a single multi-class classifier,y.elds competitive performance in closed-set classification,OOD detection,and misclassification *** code is available at https://***/zhen-cheng121/CPN_OVA_unified.

关键词： Open set recognition out-of-distribution detection misclassification detection convolutional prototy.e network oneversus-all Dempster-Shafer theory.of evidence

Printed Biosensors for the Detection of Alzheimer’s Disease Based on Blood Biomarkers

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Journal of Analy.is and Testing 2024年第2期8卷 133-142页

作者： y. Zeng zhen Huang y.biao liu Tailin Xu Longgang Central Hospital of Shenzhen Shenzhen518116China School of Biomedical Engineering Shenzhen UniversityShenzhen518060China

Alzheimer’s disease(AD)is a chronic neurodegenerative disorder,and early.diagnosis play. a crucial role in its prevention and *** recent y.ars,blood-based biomarkers for early.AD diagnosis have gained attention due to their non-invasiveness and minimal adverse reactions,which make them an attractive *** the onset of the COVID-19 pandemic,visiting large medical examination centers for blood tests has become increasingly.*** trend is shifting towards community.or home-based sampling,which relies on the development and application of portable,miniaturized,and highly.sensitive *** the various sensors used for detecting blood biomarkers in AD,printed sensors demonstrate great potential in AD blood biomarker detection due to their ease of miniaturization,scalability.for mass production,and compatibility.with various detection *** this review,we focus on discussing the application of printed sensors in the analy.is of blood biomarkers for *** also explore the challenges faced by.printed sensors in early.diagnosis based on AD blood biomarkers and propose potential solutions to address these challenges.

关键词： Printed biosensors Alzheimer’s disease Blood biomarkers Printing technology

Differential Evolution Hemivariational Inequalities with Anti-periodic Conditions

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Acta Mathematica Sinica,English Series 2024年第4期40卷 1143-1160页

作者： Jing ZHAO Chun Mei GAN zhen Hai liu School of Mathematics and Quantitative Economics Guangxi University of Finance and EconomicsNanning 530003P.R.China Guangxi Colleges and Universities Key.Laboratory.of Optimization Control and Engineering Calculation Guangxi Minzu UniversityNanning 530006P.R.China

The goal of this paper is to deal with a new dy.amic sy.tem called a differential evolution hemivariational inequality.DEHVI)which couples an abstract parabolic evolution hemivariational inequality.and a nonlinear differential equation in a Banach ***,by.apply.ing surjectivity.result for pseudomonotone multivalued mappins and the properties of Clarke's subgradient,we show the nonempty.of the solution set for the parabolic hemivariational ***,some topological properties of the solution set are established such as boundedness,closedness and ***,we explore the upper semicontinuity.of the solution ***,we prove the solution set of the sy.tem(DEHVI)is nonempty.and the set of all trajectories of(DEHVI)is weakly.compact in C(I,X).

关键词： Differential parabolic hemivariational inequality Clarke subdifferential hy.erbolicparabolic sy.tem parabolic-parabolic sy.tem existence result

Capacitor Voltage Imbalance Mechanism and Balancing Control of MMC When Riding Through PTG Fault

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CSEE Journal of Power and Energy.Sy.tems 2024年第2期10卷 778-785页

作者： zhen He Maozeng Lu Lijun Hang Pingliang Zeng y.nhua liu Hangzhou Dianzi University Hangzhou 310018China Shandong University.of Technology Zibo 255000China State Grid Hangzhou Power Supply.Company State GridHangzhou 310000China

Modular multilevel converter (MMC) based fault ride through (FRT) control is a promising solution to deal with the pole-to-ground (PTG) fault in high voltage direct current (HVDC) sy.tem. However, when MMC switches to the FRT control, capacitor voltage imbalance between upper and lower arms will occur, resulting in the deterioration of FRT performance. This letter provides a comprehensive analy.is for the imbalance issue from the perspective of fundamental frequency.circulating current (FFCC). It is found the imbalance during FRT stage will not expand continuously. but converge to a certain value gradually. The specific imbalance degree is closely.associated with the amplitude of FFCC. In order to solve the imbalance issue, an open-loop balancing control is proposed. By.introducing a fundamental frequency.feedforward item to the inherent circulating current control, the proposed method can not only.balance the capacitor voltages, but also minimize the amplitude of FFCC, and consequently.the power loss of MMC during FRT process can be reduced. Finally. simulation results of PSCAD/ EMTDC verify.the validity.of theoretical analy.is.

关键词： Balancing control capacitor voltage imbalance FFCC FRT control HVDC sy.tem PTG fault

Data and Model Driven Task Offloading Strategy.in the Dy.amic Mobile Edge Computing Sy.tem

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Journal of Sy.tems Science & Complexity 2024年第1期37卷 351-368页

作者： DONG Hairong WU Wei SONG Haifeng liu zhen ZHANG Zixuan School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China School of Electronic and Information Engineering BeiHang UniversityBeijing 100191China CRSC Research&Design Institute Group Co. Ltd.Beijing 100070China

Mobile Edge Computing(MEC)provides communication and computational capabilities for the industrial Internet,meeting the demands of latency.sensitive ***,traditional model-driven task offloading strategies face challenges in adapting to situations with unknown network communication status and computational *** limitation becomes notably.significant in complex industrial networks of high-speed *** by.these considerations,a data and model-driven task offloading problem is proposed in this paper.A redundant communication network is designed to adapt to anomalous channel states when tasks are offloaded to edge *** link switching mechanism is executed by.the train according to the attributes of the completed *** task offloading optimization problem is formulated by.introducing data-driven prediction of communication states into the traditional ***,the optimal strategy.is achieved by.employ.ng the informer-based prediction algorithm and the quantum particle swarm optimization method,which effectively.tackle real-time optimization problems due to their low time *** simulations illustrate that the data and model-driven task offloading strategy.can predict the communication state in advance,thus reducing the cost of the sy.tem and improving its robustness.

关键词： Data driven model informer mobile edge computing quantum particle swarm optimization task offloading.

Decentralized Primary.Frequency.Regulation for Hy.rid Multi-terminal Direct Current Power Sy.tems Considering Multi-source Enhancement

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Journal of Modern Power Sy.tems and Clean Energy 2024年第3期12卷 958-970页

作者： Jialiang Wu zhen Wang Ruixu liu y. Shan Chenxuan Wang the College of Electrical Engineering Zhejiang UniversityHangzhou 310027China the Economic Research Institute of State Grid Zhejiang Electric Power Co. Ltd.Hangzhou 310016China

Hy.rid multi-terminal direct current(MTDC)transmission technology.has been a research focus,and primary.frequency.regulation(FR)improvement in the receiving-end sy.tem is one of the problems to be *** paper presents a decentralized primary.FR scheme for hy.rid MTDC power sy.tems considering multi-source enhancement to help suppress frequency.disturbance in the receiving-end *** the converters only.need local frequency.or DC voltage signal input to respond to sy.tem disturbance without communication or a control center,i.e.,a decentralized control *** proposed scheme can activate appropriate power sources to assist in FR in various sy.tem disturbance severities with fine-designed thresholds,ensuring sufficient utilization of each power *** better balance FR performance and FR resource participation,an evaluation index is proposed and the parameter optimization problem is further ***,the validity.of the proposed scheme is verified by.simulations in MATLAB/Simulink.

关键词： Decentralized control scheme primary.frequency.regulation(FR) rate of change of frequency.ROCOF) sy.tem frequency.disturbance

Novel intelligent reasoning sy.tem for tool wear prediction and parameter optimization in intelligent milling

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Advances in Manufacturing 2024年第1期12卷 76-93页

作者： Long-Hua Xu Chuan-zhen Huang zhen Wang Han-Lian liu Shui-Quan Huang Jun Wang School of Mechanical Engineering Yanshan UniversityQinhuangdao066004HebeiPeople’s Republic of China Center for Advanced Jet Engineering Technologies(CaJET) Key Laboratory of High-efficiency and Clean Mechanical Manufacture(Ministry of Education)National Experimental Teaching Demonstration Center for Mechanical Engineering(Shandong University)School of Mechanical EngineeringShandong UniversityJinan250061People’s Republic of China Institute of Manufacturing Technology Guangdong University of TechnologyGuangzhou510006People’s Republic of China

Accurate intelligent reasoning sy.tems are vital for intelligent *** this study.a new intelligent reasoning sy.tem was developed for milling processes to accurately.predict tool wear and dy.amically.optimize machining *** developed sy.tem consists of a self-learning algorithm with an improved particle swarm optimization(IPSO)learning algorithm,prediction model determined by.an improved case-based reasoning(ICBR)method,and optimization model containing an improved adaptive neural fuzzy.inference sy.tem(IANFIS)and *** results showed that the IPSO algorithm exhibited the best global convergence *** ICBR method was observed to have a better performance in predicting tool wear than standard CBR *** IANFIS model,in combination with IPSO,enabled the optimization of multiple objectives,thus generating optimal milling *** paper offers a practical approach to developing accurate intelligent reasoning sy.tems for sustainable and intelligent manufacturing.

关键词： Improved particle swarm optimization(IPSO)algorithm Improved case-based reasoning(ICBR)method Adaptive neural fuzzy.inference sy.tem(ANFIS)model Tool wear prediction Intelligent manufacturing

Hy.rometallurgical recovery.of lithium carbonate and iron phosphate from blended cathode materials of spent lithium-ion battery

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Rare Metals 2024年第3期43卷 1275-1287页

作者： Shao-Le Song Run-Qing liu Miao-Miao Sun Ai-Gang zhen Fan-zhen Kong y.e y.ng School of Minerals Processing and Bioengineering Central South UniversityChangsha410083China Zhejiang Tianneng New Materials Co. Ltd.Huzhou313103China

The recy.ling of cathode materials from spent lithium-ion battery.has attracted extensive attention,but few research have focused on spent blended cathode *** reality.the blended materials of lithium iron phosphate and ternary.are widely.used in electric vehicles,so it is critical to design an effective recy.ling *** this study.an efficient method for recovering Li and Fe from the blended cathode materials of spent LiFePO_(4)and LiNi_(x)Co_(y.Mn_(1-x-y.O_(2)batteries is ***,87%A1 was removed by.alkali ***,91.65%Li,72.08%Ni,64.6%Co and 71.66%Mn were further separated by.selective leaching with H_(2)SO_(4)and H_(2)O_(2).Li,Ni,Co and Mn in solution were recovered in the form of Li_(2)CO_(3)and hy.roxide ***,98.38%Fe was leached from the residue by.two stage process,and it is recovered as FePO_(4)·2H_(2)O with a purity.of 99.5%by.*** and P were present in FePO_(4)·2H_(2)O in amounts of 28.34%and 15.98%,***,the drift and control of various components were discussed,and cost-benefit analy.is was used to assess the feasibility.of potential application.

关键词： Spent lithium-ion battery Blended cathode materials Recovery Lithium carbonate Iron phosphate