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Model-Free Current Predictive control for PMSMs With Ultralocal Model Employing Fixed-Time Observer and Extremum-Seeking Method

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IEEE Transactions on Power Electronics 2025年第8期40卷 10682-10693页

作者： Lin, Xinpo Liu, Jianxing Liu, Zhuang Gao, Yabin Peretti, Luca Wu, Ligang Harbin Institute of Technology Department of Control Science and Engineering Weihai264209 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China KTH Royal Institute of Technology Division of Electric Power and Energy Systems Stockholm10044 Sweden

Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain cases. To address this issue, this article proposes a model-free predictive current controller for PMSMs. Specifically, the dynamic model of the motor currents is represented using two ultralocal models, which express the derivatives of a controlled output as the sum of an amplified control input and an unknown offset term. All system parameters, nonlinear terms, and unmodeled dynamics are encapsulated into two offset terms. Online estimation of these two offset terms is performed using a second-order fixed-time convergence observer without requiring exact knowledge of the system parameters in advance. In contrast to both the linear extended state observer and the super-twisting observer, the fixed-time observer enhances convergence speed while concurrently sustaining minimal chatting. To get rid of the need for model rated parameters, an extremum-seeking approach is utilized to tune the control gains in the ultralocal model, where the amplitude of the disturbance item in extremum-seeking approach is adaptively attenuated, resulting in effective reduction of the fluctuations of both the control gains and PMSM's currents in steady state. Subsequently, a predictive controller is designed using this ultralocal model. Finally, the effectiveness and advantages of the proposed control scheme are confirmed through experimental results. © 1986-2012 IEEE.

关键词： Permanent magnets

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Analysis of GC×GC fingerprints from medicinal materials using a novel contour detection algorithm:A case of Curcuma wenyujin

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Journal of Pharmaceutical Analysis 2024年第4期14卷 542-551页

作者： Xinyue Yang Yingyu Sima Xuhuai Luo Yaping Li Min He Department of Pharmaceutical Engineering School of Chemical EngineeringXiangtan UniversityXiangtanHunan411105China Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringAptamer Engineering Center of Hunan ProvinceHunan UniversityChangsha410082China Department of Quality Control Xiangtan Central HospitalXiangtanHunan411100China

This study introduces an innovative contour detection algorithm,PeakCET,designed for rapid and efficient analysis of natural product image fingerprints using comprehensive two-dimensional gas chromatogram(GC×GC).This method innovatively combines contour edge tracking with affinity propagation(AP)clustering for peak detection in GC×GC fingerprints,the first in this *** edge tracking signif-icantly reduces false positives caused by“burr”signals,while AP clustering enhances detection accuracy in the face of false *** efficacy of this approach is demonstrated using three medicinal products derived from Curcuma *** not only performs contour detection but also employs inter-group peak matching and peak-volume percentage calculations to assess the compositional similarities and differences among various ***,this algorithm compares the GC×GC fingerprints of Radix/Rhizoma Curcumae Wenyujin with those of products from different botanical *** findings reveal that genetic and geographical factors influence the accumulation of secondary metabolites in various plant *** sample exhibits unique characteristic components alongside common ones,and vari-ations in content may influence their therapeutic *** research establishes a foundational data-set for the quality assessment of Curcuma products and paves the way for the application of computer vision techniques in two-dimensional(2D)fingerprint analysis of GC×GC data.

关键词： GC×GC Image fingerprints Contour detection Clustering of mass spectra Curcuma products

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Comprehensive multimodal approach for Parkinson’s disease classification using artificial intelligence: insights and model explainability

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Soft Computing 2025年第3期29卷 1845-1877页

作者： Balaha, Hossam Magdy Hassan, Asmaa El-Sayed Ahmed, Rawan Ayman Balaha, Magdy Hassan Bioengineering Department J.B. Speed School of Engineering University of Louisville LouisvilleKY United States Computer Science and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt Mathematics and Engineering Physics Department Faculty of Engineering Mansoura University Mansoura Egypt Department of Obstetrics and Gynecology Faculty of Medicine Tanta University Tanta Egypt

Parkinson’s disease (PD) is a debilitating neurodegenerative disorder affecting millions worldwide. Early detection is vital for effective management, yet remains challenging. In this study, we investigated four distinct datasets for PD detection. Through comprehensive experimentation employing ensemble methods and feature selection, we achieved high classification accuracies across the datasets. For the Oxford Parkinson’s Disease Detection Dataset, an accuracy of 95.67%, precision of 97.59%, recall of 84.5%, specificity of 99.32%, and F1-score of 90.57% were achieved. For the Alzheimer Parkinson Diseases 3 Class Dataset, the "Stacking" approach surpasses individual models, reaching an accuracy of 99.85%, precision of 99.81%, recall of 99.81%, specificity of 99.86%, and F1 of 99.81%. For the NewHandPD dataset, Regarding the Spiral category, The "Base-P32-384" model surpasses others with an accuracy of 97.35%, precision of 96.50%, recall of 98.57%, and F1-score of 97.53%. The collective "Stacking" approach proves highly effective regarding the Circle category, achieving 100% across all performance metrics. Regarding the Meander category, the "Base-P16-224" model achieves an accuracy of 97.35%, precision of 99.26%, recall of 95.71%, specificity of 99.19%, and F1 of 97.45%. The Mobile Device Voice Recordings at King’s College London (MDVR-KCL) dataset contains two datasets. Regarding the "SpontaneousDialogue" dataset, accuracy, BAC, precision, recall, specificity, and F1-score were computed, resulting in values of 94.03%, 92.83%, 90.78%, 100.0%, and 85.67%, respectively. Regarding the "ReadText" dataset, accuracy, BAC, precision, recall, specificity, and F1-score were computed, resulting in values of 91.89%, 90.62%, 87.5%, 100.0%, and 81.25%, respectively. Our findings highlight the efficacy of leveraging diverse data sources and advanced machine learning techniques to enhance PD detection accuracy. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germa

关键词： Neurodegenerative diseases

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On the determination of particle impact breakage in selection function

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Particuology 2022年第6期20卷 117-132页

作者： Li Ge Wang Ruihuan Ge Xizhong Chen Process Systems Enterprise HammersmithLondonUK Department of Chemical and Biological Engineering University of SheffieldUK Process and Chemical Engineering School of EngineeringUniversity College CorkIreland

This paper presents a thorough study of particle impact breakage in selection function with a unified breakage *** impact mode and breakage pattern for particulate materials are classified based on a significant review of well-established impact *** was found that the lack of a unified breakage criterion to determine the breakage probability disables a direct comparison of particle breakage propensity from different impact loading *** literature breakage models to describe the breakage probability are reviewed where the advantage and drawback of these models are *** sourced literature breakage models are compared with the zeolite breakage datasets in a unified breakage criterion to evaluate the model performance.A novel computational modelling workflow for a milling process is proposed to provide a guidance in implementing the digital twin in milling process *** breakage probability models,*** selection functions are comprehensively assessed in population balance model to examine the model *** model simplicity and fidelity in the model assessment are specifically discussed and the value of digital twin in substantially reducing the experimental trials is highlighted.

关键词： Impact breakage Breakage criteria Breakage model assessment Selection function Population balance model Digital twin

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Fully Superhydrophilic, Self-Floatable, and Multi-Contamination-Resistant Solar Steam Generator Inspired by Seaweed

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engineering 2023年第1期20卷 153-161页

作者： Chiyu Wen Hongshuang Guo Yingnan Zhu Haoyu Bai Weiqiang Zhao Xinsheng Wang Jing Yang Moyuan Cao Lei Zhang Frontier Science Center for Synthetic Biology&Key Laboratory of Systems Bioengineering(Ministry of Education) Department of Biochemical EngineeringSchool of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Haihe Laboratory of Sustainable Chemical Transformations School of Materials Science and EngineeringNankai UniversityTianjin 300071China State Key Laboratory of Chemical Engineering School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China

Highly hydrophilic materials enable rapid water delivery and salt redissolution in solar-driven seawater desalination. However, the lack of independent floatability inhibits heat localization at the air/water interface. In nature, seaweeds with internal gas microvesicles can float near the sea surface to ensure photosynthesis. Here, we have developed a seaweed-inspired, independently floatable, but superhydrophilic (SIFS) solar evaporator. It needs no extra floatation support and can simultaneously achieve continuous water pumping and heat concentration. The evaporator resists salt accumulation, oil pollution, microbial corrosion, and protein adsorption. Densely packed hollow glass microbeads promote intrinsic floatability and heat insulation. Superhydrophilic zwitterionic sulfobetaine hydrogel provides a continuous water supply, redissolves the deposited salt, and endows the SIFS evaporator with excellent anti-fouling properties. With its unprecedented anti-contamination ability, this SIFS evaporator is expected to open a new avenue for designing floatable superhydrophilic materials and solving real-world issues of solar steam generation in complex environmental conditions.

关键词： Superhydrophilic device Bioinspiration Independent floatability Multi-contaminati on resi stance Solar evaporation

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Cybersecurity Landscape on Remote State Estimation:A Comprehensive Review

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 851-865页

作者： Jing Zhou Jun Shang Tongwen Chen the Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 1H9Canada the Department of Control Science and Engineering and Shanghai Research Institute for Intelligent Autonomous Systems Tongji UniversityShanghai 200092China

Cyber-physical systems(CPSs)have emerged as an essential area of research in the last decade,providing a new paradigm for the integration of computational and physical units in modern control *** state estimation(RSE)is an indispensable functional module of ***,it has been demonstrated that malicious agents can manipulate data packets transmitted through unreliable channels of RSE,leading to severe estimation performance *** paper aims to present an overview of recent advances in cyber-attacks and defensive countermeasures,with a specific focus on integrity attacks against ***,two representative frameworks for the synthesis of optimal deception attacks with various performance metrics and stealthiness constraints are discussed,which provide a deeper insight into the vulnerabilities of ***,a detailed review of typical attack detection and resilient estimation algorithms is included,illustrating the latest defensive measures safeguarding RSE from ***,some prevalent attacks impairing the confidentiality and data availability of RSE are examined from both attackers'and defenders'***,several challenges and open problems are presented to inspire further exploration and future research in this field.

关键词： Cyber-attacks Kalman filtering remote state estimation unreliable transmission channels

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Enzyme annotation for orphan reactions and its applications in biomanufacturing

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Green chemical engineering 2023年第2期4卷 137-145页

作者： Zhen Zhang Chun Li Key Lab for Industrial Biocatalysis Ministry of EducationDepartment of Chemical EngineeringTsinghua UniversityBeijing100084China Center for Synthetic&Systems Biology Department of Chemical EngineeringTsinghua UniversityBeijing100084China

There are lots of biochemical reactions in the biosynthetic pathway without associated *** predicted by retro-biosynthetic tools are not assigned gene ***,non-natural reactions designed with novel functions also lack suitable *** these reactions can be categorized as orphan *** absence of protein-encoding genes in these orphan reactions limits their direct experimental *** tools have been developed to find candidate enzymes for these orphan ***,we discuss recent advances in these computational tools,including reaction similarity-based methods for calculating the substructural similarity between orphan reactions and known enzymatic reactions;sequence-based tools combine metabolic knowledge base and phenotypic information with genomic,transcriptomic,and metabolomic data to mine appropriate enzymes for orphan reactions;and approaches based on the creation of enzyme variants for orphan reactions as enzyme engineering modifications and de novo design of *** believe that our review will greatly facilitate the design of microbial cell factories and contribute to the development of the biomanufacturing field.

关键词： Enzyme annotation Orphan reactions Reaction similarity Gene mining Computational enzyme design

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Image Segmentation System of Soft Capsules Based on Deep Learning

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Journal of Institute of control, Robotics and systems 2024年第6期30卷 607-613页

作者： Jung, Young-Gil Park, Tae-Hyoung Department of Control and Robot Engineering Chungbuk National University Korea Republic of Department of Intelligent Systems and Robotics Chungbuk National University Korea Republic of

Pharmacists in conventional pharmacies and hospitals prepare and visually inspect medications before dispensing these medications to patients, thereby posing risks of exposure through skin contact or inhalation, as well as the potential for generating compounding errors such as incorrect medication types or quantities. To address the limitations of the manual compounding processes, automated compounding and medication-verification systems have been introduced and implemented. The automated compounding system prepares medications in pouch units based on prescriptions written by doctors, whereas the medication verification system verifies whether the types and quantities of the medication dispensed in these pouches match the prescription information. Medications are categorized broadly into solid tablets, hard capsules, and soft capsules. Color and shape information is used to classify medication types;solid tablets and hard capsules can be classified using rule-based image processing techniques such as image binarization. However, extracting shape information from soft capsules through which light passes is impossible via image binarization alone;therefore pattern matching is employed. Nevertheless, soft capsules change their forms, causing significant variations in pattern-matching similarity;therefore the detection accuracies of these capsules are low. To address this issue, this paper proposes a deep learning-based method for detecting soft capsules. © ICROS 2024.

关键词： Pattern matching

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Efficient acetoin production from pyruvate by engineered Halomonas bluephagenesis whole-cell biocatalysis

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Frontiers of chemical Science and engineering 2023年第4期17卷 425-436页

作者： Meiyu Zheng Zhenzhen Cui Jing Zhang Jing Fu Zhiwen Wang Tao Chen Department of Biochemical Engineering School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjin 300350China Department of Biology and Biological Engineering Chalmers University of TechnologyGothenburg 41296Sweden

Acetoin is an important platform chemical,which has a wide range of applications in many *** bluephagenesis,a chassis for next generation of industrial biotechnology,has advantages of fast growth and high tolerance to organic acid salts and alkaline ***,α-acetolactate synthase andα-acetolactate decarboxylase from Bacillus subtilis 168 were co-expressed in *** to produce acetoin from *** reaction condition optimization and further increase ofα-acetolactate decarboxylase expression,acetoin production and yield were significantly enhanced to 223.4 mmol·L^(-1) and 0.491 mol·mol^(-1) from 125.4 mmol·L^(-1) and 0.333 mol·mol^(-1),***,the highest titer of 974.3 mmol·L^(-1)(85.84 g·L^(-1))of acetoin was accumulated from 2143.4 mmol·L^(-1)(188.6 g·L^(-1))of pyruvic acid within 8 h in fed-batch bioconversion under optimal reaction ***,the reusability of the cell catalysis was also tested,and the result illustrated that the whole-cell catalysis obtained 433.3,440.2,379.0,442.8 and 339.4 mmol·L^(-1)(38.2,38.8,33.4,39.0 and 29.9 g·L^(-1))acetoin in five repeated cycles under the same *** work therefore provided an efficient *** whole-cell catalysis with a broad development prospect in biosynthesis of acetoin.

关键词： acetoin pyruvate α-acetolactate synthetase α-acetolactate decarboxylase Halomonas bluephagenesis whole-cell biocatalysis

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Techno-economic analysis of a hybrid renewable energy system integrated with productive activities in an underdeveloped rural region of eastern Indonesia

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Clean Energy 2023年第6期7卷 1247-1267页

作者： Alya Nurul Shafira Subhan Petrana Rahma Muthia Widodo Wahyu Purwanto Sustainable Energy Systems and Policy Research Cluster Universitas IndonesiaDepok16424Indonesia Chemical Engineering Department Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia Master Program in Energy Systems Engineering Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia

The Southwest Maluku region in eastern Indonesia is considered a frontier,outermost and underdeveloped *** inhabitants live on isolated islands,including the residents of Mahaleta Village,where only 9.4%of the community have limited access to *** study aimed to design an economically feasible hybrid renewable energy(RE)system based on solar and wind energy to integrate with the productive activities of the *** study developed conceptual schemes to meet the demand for electricity from the resi-dential,community,commercial and productive sectors of the *** analysis was performed using a techno-economic *** hybrid system was designed using the HOMER Pro optimization function,and cold-storage and dryer systems were designed to support related productive *** optimized design of the hybrid RE system comprised 271.62 kW of solar photovoltaics,80 kW of wind turbines and a 1-MWh lead-acid *** found that the hybrid RE system would only be economically feasible with a full-grant incentive and an electricity tariff of$0.0808/***,the productive activity schemes were all economically feasible,with a cold-storage cost of$0.035/kg and a drying cost of$0.082/*** the hybrid RE system with productive activities can improve the economic feasibility of the energy system and create more jobs as well as increase income for the local community.

关键词： underdeveloped region hybrid renewable energy system photovoltaics wind turbine Indonesia

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