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A master-slave generalized predictive synchronization control for preheating process of multi-cavity hot runner system

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Chinese Journal of Chemical engineering 2023年第10期62卷 270-280页

作者： Hongyi Qu Shengyong Mo Ke Yao Zhao-Xia Huang Zhihao Xu Furong Gao Institute of Intelligent Manufacturing Guangdong Academy of SciencesGuangdong Key Laboratory of Modern Control TechnologyGuangzhou 510070China Fok Ying Tung Graduate School The Hong Kong University of Science and TechnologyGuangzhou 511442China Department of Chemical and Biological Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China National Engineering Research Center of Novel Equipment for Polymer Processing Department of Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou 510641China

As a key component of injection molding,multi-cavity hot runner(MCHR)system faces the crucial problem of polymer melt filling imbalance among the *** thermal imbalance in the system has been considered as the leading ***,the solution may rest with the synchronization of those heating processes in MCHR *** paper proposes a’Master-Slave’generalized predictive synchronization control(MS-GPSC)method with’***’strategy for preheating stage of MCHR *** core of the proposed method is choosing the heating process with slowest dynamics as the’Master’to track the setpoint,while the other heating processes are treated as‘Slaves’tracking the output of’Master’.This proposed method is shown to have the good ability of temperature *** corresponding analysis is conducted on parameters tuning and stability,simulations and experiments show the strategy is effective.

关键词： Process control Thermodynamics process Model-predictive control Multi-cavity hot runner system Master-Slave synchronization Mr.Slowest

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Human-robot Collaboration using Monte Carlo Tree Search

Human-Robot Collaboration using Monte Carlo Tree Search

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2022 International Conference on Automation, robotics and Computer engineering, ICARCE 2022

作者： Yao, Feng Zhao, Huailin Liu, Huaping Shanghai Institute of Technology University Graduate School of Control Science and Engineering Shanghai China Tsinghua University Department of Computer Department Beijing China

ISBN: (纸本)9781665475488

Human-robot collaboration as a challenging task has received great attention in the academic research field. Many existing search models are aimed at single agent or multi-agent, but there are some defects in the search efficiency of their task targets. Therefore, we propose a human-computer cooperative search algorithm in the indoor scene, where people and agents cooperate to complete the search of related objects. We have developed a platform for human-robot collaboration, and designed a set of algorithms for agent to integrate scene prior knowledge, target recognition, and path planning. The experimental results that the H-R cooperative search model proposed by us shows good efficiency in target search tasks. © 2022 IEEE.

关键词： Motion planning

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A New LMI-Based Non-Iterative Design Method for Static Output Feedback controllers for Linear Systems 25

A New LMI-Based Non-Iterative Design Method for Static Outpu...

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25th International Conference on Mechatronics Technology, ICMT 2022

作者： Oya, Hidetoshi Hayakawa, Satoshi Nagai, Shunya Nakano, Kazushi Tokyo City University Department of Computer Science Tokyo Japan Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Department of Electronics and Control Engineering Ehime Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (数字)9781665461955

ISBN: (纸本)9781665461955

This paper presents a new non-iterative LMI-based design method for static output feedback controllers for linear systems. The proposed design method is derived from the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems. In this paper, we show the new non-iterative LMI-based design procedure for static output feedback controllers for linear systems, and the effectiveness of the proposed controller design approach is shown through a simple numerical example. © 2022 IEEE.

关键词： Linear systems

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A critical review of on-site inorganic arsenic screening methods

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Journal of Environmental Sciences 2023年第3期125卷 453-469页

作者： Yi He Jingyu Liu Yanhua Duan Xiaofei Yuan Lulu Ma Ratan Dhar Yan Zheng Department of Sciences John Jay College and the Graduate CenterThe City University of New YorkNY 10019USA State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Queensland Alliance for Environmental Health Sciences(QAEHS) The University of QueenslandQLD 4102Australia Department of Earth and Physical Sciences York CollegeThe City University of New YorkNY 11451USA

Approximately 94 to 220 million people worldwide are at risk of drinking well water containing arsenic > 10 μg/L, the WHO guideline value. To identify non-compliant domestic wells, assess health risks and reduce exposure, accurate and rapid on-site inorganic arsenic screening methods are desirable because all domestic wells worldwide need to be ***, the principles, advantages and limitations of commonly used colorimetry, electrochemistry, and biosensing methods are critically reviewed, with the performance compared with laboratory-based benchmark methods. Most commercial kits are based on the classic Gutzeit reaction. Despite being semi-quantitative, the more recent and more expensive products display improved and acceptable accuracy and shorter testing time (~10 min). Carried out by trained professionals, electrochemical methods are also feasible for on-site analysis, although miniaturization is desirable yet challenging. Biosensing using whole bacterial cells or bio-engineered materials such as aptamers is promising, if incorporated with function specific nanomaterials and biomaterials. Since arsenic is frequently found as arsenite in reducing groundwater and subject to oxidation during sampling, transportation and storage, on-site separation and sample preservation are feasible but the specific methods should be chosen based on sample matrix and tested before use. To eliminate arsenic exposure among hundreds of millions of mostly rural residents worldwide, we call for concerted efforts in research community and regulatory authority to develop accurate, rapid, and affordable tests for on-site screening and monitoring of arsenic in drinking water. Access to affordable testing will benefit people who are socioeconomically disadvantaged.

关键词： Inorganic arsenic On-site analysis Drinking water Groundwater Field test

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Effective distributed algorithm for solving linear matrix equations

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Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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Output Tracking control of a Nonlinear System Based on Takagi-Sugeno Fuzzy Model: Generalized Partial Eigenstructure Assignment Approach

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IEEE Access 2024年 12卷 18520-18535页

作者： Soltanian, Farzad Shasadeghi, Mokhtar Mobayen, Saleh Skruch, Pawel University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2M9 Canada Shiraz University of Technology Electrical Engineering Faculty Shiraz71557-13876 Iran National Yunlin University of Science and Technology Graduate School of Intelligent Data Science Yunlin Douliu64002 Taiwan AGH University of Science and Technology Department of Automatic Control and Robotics Kraków30-059 Poland

This paper introduces an innovative optimal control approach to achieve output tracking while incorporating H2-performance specifications in a specific class of nonlinear dynamics modeled by the Takagi-Sugeno fuzzy model (TSFM). The primary innovation lies in extending partial eigenstructure assignment to TSFM-based nonlinear systems within the framework of sliding mode control (SMC). We propose a two-step methodology for designing optimal sliding surface gains. Initially, optimal state feedback gains are computed for each rule consequence containing a linear subsystem, adhering to predetermined eigenvalues and satisfying H2-performance criteria. Subsequently, using a convex combination, the overall state feedback gain is calculated and utilized to design sliding matrix gains. The sliding matrix gains are then determined by strategically combining previously calculated state-feedback gains in a convex optimization problem. We reframe the output tracking strategy as a stabilization problem using a virtual control input and reformulate the optimization task concerning tracking state errors. This process yields state feedback gains, sliding gains, and the formulation of the virtual control input. The effectiveness of our approach is verified through comprehensive simulations, emphasizing its capability in addressing output tracking challenges within nonlinear systems. © 2013 IEEE.

关键词： Transient analysis

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Occupational Exposure of Therapeutic Staff in Deep Transcranial Magnetic Stimulation 35

Occupational Exposure of Therapeutic Staff in Deep Transcran...

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35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023

作者： Lu, Mai Ueno, Shoogo Lanzhou Jiaotong University Key Lab. of Opto-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou China The University of Tokyo Graduate School of Medicine Department of Biomedical Engineering Tokyo Japan

ISBN: (纸本)9789463968096

This study presented dosimetry analysis for therapeutic staff exposed to magnetic pulses from double cone and Halo-circular assembly (HCA) coils during deep transcranial magnetic stimulation (dTMS) applications. The magnetic field and the induced electric field in realistic human body model exposure to dTMS coils have been obtained by employing the impedance method. The exposure level by both double cone and HCA coils were assessed according to the limits defined by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines. The HCA coil generates higher exposure to therapeutic staff compared to that of double cone coil. © 2023 International Union of Radio Science.

关键词： Electric fields

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Multi-omics graph convolutional networks for digestive system tumour classification and early-late stage diagnosis

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CAAI Transactions on Intelligence Technology 2024年第6期9卷 1572-1586页

作者： Lin Zhou Zhengzhi Zhu Hongbo Gao Chunyu Wang Muhammad Attique Khan Mati Ullah Siffat Ullah Khan School of Information Science and Technology University of Science and Technology of ChinaHefeiAnhuiChina Anhui Engineering Research Center on Information Fusion and Control of Intelligent Robot WuhuAnhuiChina Department of Breast Center West District of The Affiliated Hospital of University of Science and Technology of ChinaDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhuiChina Institute of Advanced Technology University of Science and Technology of ChinaHefeiAnhuiChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore School of Biological and Environmental Engineering Chaohu UniversityChaohu Regional Collaborative Technology Service Center for Rural RevitalizationHefeiChina Department of Artificial Intelligence College of Computer Engineering and SciencePrince Mohammad Bin Fahd UniversityAl-KhobarSaudi Arabia School of Automation Northwestern Polytechnical UniversityXi'anShaanxiChina Institute of Engineering and Computing Science University of Science and Technology of BannuKPKBannuPakistan

The prevalence of digestive system tumours(DST)poses a significant challenge in the global crusade against *** neoplasms constitute 20%of all documented cancer diagnoses and contribute to 22.5%of cancer-related *** accurate diagnosis of DST is paramount for vigilant patient monitoring and the judicious selection of optimal *** this challenge,the authors introduce a novel methodology,denominated as the Multi-omics Graph Transformer Convolutional Network(MGTCN).This innovative approach aims to discern various DST tumour types and proficiently discern between early-late stage tumours,ensuring a high degree of *** MGTCN model incorporates the Graph Transformer Layer framework to meticulously transform the multi-omics adjacency matrix,thereby illuminating potential associations among diverse samples.A rigorous experimental evaluation was undertaken on the DST dataset from The Cancer Genome Atlas to scrutinise the efficacy of the MGTCN *** outcomes unequivocally underscore the efficiency and precision of MGTCN in diagnosing diverse DST tumour types and successfully discriminating between early-late stage DST *** source code for this groundbreaking study is readily accessible for download at https://***/bigone1/MGTCN.

关键词： digestive system tumors early-late stage multi-omics tumor types

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Internal waste dump stability analysis: insights from numerical simulations

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Discover Geoscience 2025年第1期3卷 1-16页

作者： Enkhbold, Bilguun Ikeda, Hajime Toriya, Hisatoshi Adachi, Tsuyoshi Department of Geosciences Geotechnology and Materials Engineering for Resources Graduate School of International Resource Sciences Akita University Akita Japan Department of Systems Control and Information Engineering National Institute of Technology Asahikawa College Asahikawa Japan

In Mongolia, the “Baganuur” lignite coal mine is one of the largest open-pit mines; however, the stability of its internal dump is very difficult to maintain, which hinders the mine’s normal operation and negatively influences the economy. To solve this internal waste dump slope stability problem, we studied the use of rock materials’ inherent mechanical properties to conduct numerical modelling and analysis on improved internal waste dump parameters using Gaussian Elimination-based Rocscience RS2 software. Finite element methods were used to determine the factors that could impact the stability of an internal waste dump based on the properties of the rock. For this research, we investigated whether single- and multi-dumps impacted internal dump height and dip angle and covered the analytical approach used to determine safety factors. The internal dump capacity can be increased by around 1.9 times at a 50 m height and a 28° dip angle, according to the results of the numerical simulation models. This research offers an optimal strength reduction factor (SRF) at a height of 45 m and a dip angle of 28° in comparable situations. Numerical simulations show that dip angle changes impact internal dump slope stability more than dump height modifications.

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Tackling Real-world Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification

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IEEE Transactions on Circuits and Systems for Video Technology 2025年第6期35卷 5776-5790页

作者： Liu, Tengfei Hu, Yongli Li, Mingjie Yi, Junfei Chang, Xiaojun Gao, Junbin Yin, Baocai Beijing University of Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Beijing Institute of Artificial Intelligence School of Information Science and Technology Beijing100124 China Stanford University Department of Radiation Oncology StanfordCA94305 United States Hunan University National Engineering Laboratory of Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan Changsha410082 China University of Technology Sydney ReLER Laboratory Australian Artificial Intelligence Institute Faculty of Engineering and Information Technology UltimoNSW2007 Australia The University of Sydney Business School The University of Sydney Discipline of Business Analytics CamperdownNSW2006 Australia

With the rapid growth of internet content, multimodal long document data has become increasingly prominent, drawing significant attention from researchers. However, most existing methods primarily focus on scenarios where all modalities are present, often overlooking more challenging and realistic cases involving missing image modality. To address this limitation, we propose a robust multimodal long document classification (MLDC) framework that integrates hierarchical modeling and dynamic prompting to handle complex multimodal long document data. Our approach begins by leveraging hierarchical modeling combined with an Adaptive Correlation Multimodal Transformer (ACMT) to effectively capture relationships between text and images at both section and sentence levels. We also introduce a Dynamic Prompt Generation (DPG) module at both levels to enhance the model's robustness in handling missing image data. By evaluating sample uncertainty, the DPG module dynamically adjusts both the number of prompts and the prompts themselves, allowing the model to better adapt to the varying needs of different samples. Finally, a Hierarchical Heterogeneous Graph (HHG) is introduced to enhance feature interactions across levels, further improving the coherence and accuracy of the model. Extensive experiments on four multi-modal long document datasets demonstrate that our model shows superior performance compared to existing state-of-the-art MLDC classification methods in various conditions. © 1991-2012 IEEE.

关键词： Adaptation models Transformers Data models Correlation Circuits and systems Electronic mail Robustness Uncertainty Training Complexity theory

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