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2nd International Conference on Energy, Power, and Electrical Technology, ICEPET 2023

作者： Du, Qiliang Lin, Jiashuo Qu, Fengrui Tian, Lianfang School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Sino-Singapore International Joint Research Institute Guangzhou510555 China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education Guangzhou510641 China Research Institute of Modern Industrial Innovation South China University of Technology Zhuhai519170 China

ISBN: (纸本)9781510668270

Strain clamps of transmission lines are the main part of transmission lines, which play the role of bearing tensile force and transmitting current in the transmission line. In this paper, we focus on the distance between the end of steel anchor and strand in the strain clamps. We propose a method using YOLOv4 and classic image processing methods to measure the distance referred to above, according to which we can judge whether the strain clamps have defects about distance. We first got the bounding boxes of the end of steel anchor and strand in the strain clamps by YOLOv4, thus calculating the distance between the two bounding boxes. Meanwhile, we used classic image processing methods to get the diameter of the steel anchor. Finally, we calculated the ratio of the two distances mentioned above to determine whether the defect exists. We achieve good performance in the detection of distance defects in strain clamps with high accuracy through the research in this paper. © 2023 SPIE. All rights reserved.

关键词： Electric lines

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Discriminative supervised neighborhood preserving embedding feature extraction for hyperspectral-image classification

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Telkomnika 2012年第5期10卷 1051-1056页

作者： Luo, Renbo Liao, Wenzhi Pi, Youguo Key Laboratory of Autonomous Systems and Network Control Ministry of Education College of Automation Science and Engineering South China University of Tech Wushan RD. Tianhe District Guangzhou 510641 China

A novel discriminative supervised neighborhood preserving embedding (DSNPE) method is proposed for feature extraction in classifying hyperspectral remote sensing imagery. DSNPE can preserve the local manifold structure and the neighborhood structure. What's more, for each data point, DSNPE aims at pulling the neighboring points with the same class label towards it as near as possible, while simultaneously pushing the neighboring points with different labels apart from it as far as possible. Experimental results on two real hyperspectral image datasets are reported to illustrate the performance of DSNPE and to compare it with a few competing methods. © 2012 Universitas Ahmad Dahlan.

关键词： Feature extraction

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ADRC with built-in RLC control scheme for uncertain systems with periodic reference input

ADRC with built-in RLC control scheme for uncertain systems ...

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Data Driven control and Learning systems (DDCLS)

作者： Xiangyang Li Jian Huang Senping Tian Wei Ai Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China Kunming Shipborne Equipment Research and Test Center Kunming China

Active disturbance rejection control (ADRC) method has shown strong capabilities to handle system uncertainties. As for dealing with the periodic reference input signal, the repetitive learning control (RLC) method is often applied in practice to improve the system performance. In this paper, a distinct framework is proposed for the design and implementation of integrating the advantages of RLC and ADRC for uncertain systems with periodic reference input. An extra control input produced by built-in RLC scheme is added to the state error feedback (SEF) part of ADRC system. The stability of ADRC with built-in RLC scheme is proved. Simulations show that the proposed method is effective and can achieve better performance than the classic ADRC.

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ADRC based on modified ESO for nonlinear time-varying system with impulsive disturbance

ADRC based on modified ESO for nonlinear time-varying system...

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第43届中国控制会议

作者： Xiangyang Li Jianer Bai Jian Huang Bingbing Wang Senping Tian Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Kunming Shipborne Equipment Research and Test Center Aviation College Changji University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

The extended state observer(ESO) is the core of Active disturbance rejection control(ADRC) methodology. The paper proposes a new modified ESO which can overcome the initial peaking phenomenon and improve to adapt the abrupt change in disturbance change and keep the control system stable and enough accuracy. The adjustable parameter in modified ESO can be set according to the desired ESO performance which is hard to satisfy by just adjusting the bandwidth oof ESO. Simulations show that the proposed ADRC based on modified ESO has the same stable tracking performance and more effective to overcome initial peaking phenomenon and adapt setpoint and disturbance abrupt change.

关键词： Active disturbance rejection control(ADRC) extended state observer(ESO) nonlinear time-varying system impulsive disturbance

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in autonomous Robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Dual adaptive control of bimanual manipulation with online fuzzy parameter tuning

Dual adaptive control of bimanual manipulation with online f...

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IEEE International Symposium on Intelligent control (ISIC)

作者： Alex Smith Chenguang Yang Hongbin Ma Phil Culverhouse Angelo Cangelosi Etienne Burdet Center for Robotics and Neural Systems Plymouth University Devon UK Key Laboratory of Autonomous System and Network Control South China University of Technology Guangzhou P. R. China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Bioengineering Imperial College London UK

A biomimetic controller with online adaptation of impedance and force is applied to a full kinematic and dynamic model of the Baxter bimanual robot. A set of fuzzy logic engines are proposed to infer the values of tuning gains which affect the control performance and control effort of the controller, which would conventionally be set to a static value based on expert knowledge of the controller; the aim of this being to avoid the use of arbitary values to set these values. A simulated experiment is carried out, where the Baxter robot is required to move an object through a trajectory while subjected to two different disturbance forces in four phases. The controller with fuzzy inferred control gains is compared against the same controller with fixed gains to gauge the effectiveness of the new method. Results show that fuzzy inference of control gains impart an improvement in both tracking error and control effort.

关键词： Trajectory Fuzzy logic Force Dynamics Mathematical model Manipulators

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A Battery Capacity Prediction Method Applying to On-Service Vehicles Using Charging Data and Decomposition Framework

SSRN

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SSRN 2024年

作者： Zhao, Xinwei Liu, Yonggui Xiao, Bin Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou510641 China School of Computer Science and Technology Guangdong University of Technology Guangzhou510006 China Information Engineering School Guangzhou Vocational College of Technology & Business Guangzhou511442 China

Lithium-ion batteries are valuable as the primary power source for electric vehicles (EVs). However, their capacity degradation and reliability directly affect driving of on-service EVs, accurately forecasting battery capacity is still a tricky challenge due to complex battery systems and limitations of computing power. To overcome such barriers, a concise battery capacity prediction method is proposed based on charging data and decomposition framework in this paper. First, charging hot-spot intervals are counted to provide a reliable foundation for screening high-quality and low-quantity data. Then, the seasonal-trend decomposition method with independent analysis is designed and applied to extract significant correlation features associated with capacity degradation. Subsequently, a temporal convolution network with the decomposed mode is developed to forecast battery capacity, in conjunction with the use of decoupling mechanism to rectify the analytical interference and misinformation caused by data mixing. Finally, experiment results demonstrate that the proposed method can accurately predict capacity of on-service EVs. Furthermore, this approach alleviates the computational burden without compromising prediction accuracy. © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Adaptive control of unmanned surface vessels matching an optimized reference model

Adaptive control of unmanned surface vessels matching an opt...

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IEEE International Conference on Robotics and Biomimetics

作者： Chenguang Yang Rongxin Cui Zhijun Li Sanjay Sharma Xingang Zhao Center for Robotics and Neural Systems Plymouth University Ply-mouth UK The MOE Key Lab of Autonomous System and Network Control South China University of Technology Guangzhou China School of Marine Science and Technology Northwestern Polytechnical University Xi'an China School of Marine Science and Engineering University of Plymouth Plymouth UK Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781479973989

In this paper, adaptive control of unmanned marine surface vessel has been investigated in the presence of uncertain dynamics as well as external disturbance. Variable structure technique has been utilized in the control design to make the dynamic response and desired motion tracking as quickly as possible. In practice, usually the desired trajectories are given as step points, such that direct immediate tracking would cause large acceleration and huge control effort, while the latter may be out of the actuators' limitation. Therefore, a reference model approach is employed, such that instead of direct tracking of the desired set point, the control objective becomes to shape the closed-loop dynamics to match a reference model. The reference model is built using optimization technique which tries to minimizes both tracking error and motion acceleration, and subsequently control effort. The smooth tracking is thus guaranteed in an optimal manner.

关键词： Tracking Acceleration Trajectory Adaptation models Performance analysis Mathematical model Dynamics

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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The Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed Altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed Al Awaidy, Salah Al Hasan, Syed Mahfuz Al Zaabi, Omar Ali Mohammed Aldridge, Robert W. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Mohammed Usman Ali, Syed Shujait Ali, Waad Alicandro, Gianfranco Alif, Sheikh Mohammad Al-Jumaily, Adel Allebeck, Peter Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Alshahrani, Najim Z. Aluh, Deborah Oyine Al-Wardat, Mohammad Al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, Thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark Thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, Alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, Alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: All countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). The rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

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The Lancet Respiratory Medicine 2020年第6期8卷 585-596页

作者： Soriano, Joan B Kendrick, Parkes J Paulson, Katherine R Gupta, Vinay Abrams, Elissa M Adedoyin, Rufus Adesoji Adhikari, Tara Ballav Advani, Shailesh M Agrawal, Anurag Ahmadian, Elham Alahdab, Fares Aljunid, Syed Mohamed Altirkawi, Khalid A Alvis-Guzman, Nelson Anber, Nahla Hamed Andrei, Catalina Liliana Anjomshoa, Mina Ansari, Fereshteh Antó, Josep M Arabloo, Jalal Athari, Seyyede Masoume Athari, Seyyed Shamsadin Awoke, Nefsu Badawi, Alaa Banoub, Joseph Adel Mattar Bennett, Derrick A Bensenor, Isabela M Berfield, Kathleen S Sachiko Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Brauer, Michael Bukhman, Gene Butt, Zahid A Cámera, Luis Alberto Car, Josip Carrero, Juan J Carvalho, Felix Castañeda-Orjuela, Carlos A Choi, Jee-Young Jasmine Christopher, Devasahayam J Cohen, Aaron J Dandona, Lalit Dandona, Rakhi Dang, Anh Kim Daryani, Ahmad de Courten, Barbora Demeke, Feleke Mekonnen Demoz, Gebre Teklemariam De Neve, Jan-Walter Desai, Rupak Dharmaratne, Samath Dhamminda Diaz, Daniel Douiri, Abdel Driscoll, Tim Robert Duken, Eyasu Ejeta Eftekhari, Aziz Elkout, Hajer Endries, Aman Yesuf Fadhil, Ibtihal Faro, Andre Farzadfar, Farshad Fernandes, Eduarda Filip, Irina Fischer, Florian Foroutan, Masoud Garcia-Gordillo, M.A. Gebre, Abadi Kahsu Gebremedhin, Ketema Bizuwork Gebremeskel, Gebreamlak Gebremedhn Gezae, Kebede Embaye Ghoshal, Aloke Gopal Gill, Paramjit Singh Gillum, Richard F Goudarzi, Houman Guo, Yuming Gupta, Rajeev Hailu, Gessessew Bugssa Hasanzadeh, Amir Hassen, Hamid Yimam Hay, Simon I Hoang, Chi Linh Hole, Michael K Horita, Nobuyuki Hosgood, H Dean Hostiuc, Mihaela Househ, Mowafa Ilesanmi, Olayinka Stephen Ilic, Milena D Irvani, Seyed Sina Naghibi Islam, Sheikh Mohammed Shariful Jakovljevic, Mihajlo Jamal, Amr A Jha, Ravi Prakash Jonas, Jost B Kabir, Zubair Kasaeian, Amir Kasahun, Gebremicheal Gebreslassie Kassa, Getachew Mullu Kefale, Adane Teshome Kengne, Andre Pascal Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khubchandani, Jagdish Kim, Young-Eun Kim, Yun Jin Kisa, Hospital Universitario de La Princesa (Princess University Hospital) Madrid Spain Autonomous University of Madrid Madrid Spain Centro de Investigación Biomédica en Red Enfermedades Respiratorias (CIBERES) (Center for Biomedical Research in Respiratory Diseases Network) Madrid Spain Institute for Health Metrics and Evaluation Seattle WA United States Department of Surgery University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Department of Global Health University of Washington Seattle WA United States Department of Medicine University of Washington Seattle WA United States University of Washington Seattle WA United States Section of Allergy and Clinical Immunology University of Manitoba Winnipeg MB Canada Ophthalmology Department University of Manitoba Winnipeg MB Canada Department of Paediatrics University of British Columbia Vancouver BC Canada School of Population and Public Health University of British Columbia Vancouver BC Canada Department of Medical Rehabilitation Obafemi Awolowo University Ile-Ife Nigeria Department of Public Health Aarhus University Aarhus Denmark Nepal Health Frontiers University of Southern Denmark Kathmandu Nepal Social Behavioral Research Branch National Institute of Health Bethesda MD United States Department of Oncology Georgetown University Washington DC United States Institute of Genomics and Integrative Biology Council of Scientific & Industrial Research Delhi India Internal Medicine Baylor College of Medicine Houston TX United States Research Center for Chronic Kidney Disease Tabriz University of Medical Sciences Tabriz Iran Research Center for Evidence Based Medicine Tabriz University of Medical Sciences Tabriz Iran Joint Ukraine-Azerbaijan International Research and Education Center of Nanobiotechnology and Functional Nanosystems Baku Azerbaijan Mayo Evidence-based Practice Center Mayo Clinic Foundat

Background: Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings: In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while

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