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Network and Systems Medicine 2020年第1期3卷 36-56页

作者： Stalidzans, Egils Zanin, Massimiliano Tieri, Paolo Castiglione, Filippo Polster, Annikka Scheiner, Stefan Pahle, Jürgen Stres, Blaž List, Markus Baumbach, Jan Lautizi, Manuela Van Steen, Kristel Schmidt, Harald H.H.W. Computational Systems Biology Group University of Latvia Riga Latvia Latvian Biomedical Reasearch and Study Centre Riga Latvia Centro de Tecnología Biomédica Universidad Politécnica de Madrid Pozuelo de Alarcón Spain CNR National Research Council IAC Institute for Applied Computing Rome Italy Oslo Norway Institute for Mechanics of Materials and Structures Vienna University of Technology Vienna Austria BioQuant Heidelberg University Heidelberg Germany Department of Animal Science University of Ljubljana Ljubljana Slovenia Faculty of Civil and Geodetic Engineering University of Ljubljana Ljubljana Slovenia Department of Automation Biocybernetics and Robotics Jozef Stefan Institute Ljubljana Slovenia Big Data in BioMedicine Research Group Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany Computational Systems Medicine Research Group Chair of Experimental Bioinformatics TUM School of Weihenstephan Technical University of Munich Freising Germany BIO-Systems Genetics GIGA-R University of Liège Liège Belgium BIO3 - Systems Medicine Department of Human Genetics KU Leuven Leuven Belgium Department of Pharmacology and Personalised Medicine Faculty of Health Medicine and Life Science Maastricht University Maastricht Netherlands

Drug research, therapy development, and other areas of pharmacology and medicine can benefit from simulations and optimization of mathematical models that contain a mathematical description of interactions between systems elements at the cellular, tissue, organ, body, and population level. This approach is the foundation of systems medicine and precision medicine. Here, simulated experiments are performed with computers (in silico) first, and they are then replicated through lab experiments (in vivo or in vitro) or clinical studies. In turn, these experiments and studies can be used to validate or improve the models. This iterative loop of dry and wet lab work is successful when biomedical researchers tightly collaborate with data scientists and modelers. From an educational point of view, the interdisciplinary research in systems biology can be sustained most effectively when specialists have been trained to have both a strong background in the disciplines of biology or modeling and strong communication skills, which make them able to communicate with other specialists. This overview addresses possible interdisciplinary communication gaps. Focusing our attention on biomedical researchers, we describe the reasons for using modeling and ways to collaborate with modelers, including their needs for specific biological expertise and data. This review includes an introduction to the principles of several widely used mechanistic modeling methods, focusing on their areas of applicability as well as their limitations. A potential complementary role of machine-learning methods in the development of mechanistic models is also discussed. The descriptions of the methods also include links to corresponding modeling software tools as well as practical examples of their application. Finally, we also explicitly address different aspects of multiscale modeling approaches that allow a more complete and holistic perspective of the human body. © Egils Stalidzans et al. 2020 Published b

关键词： Iterative methods

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An arbitrary-order predefined-time exact differentiator for signals with exponential growth bound

arXiv

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arXiv 2021年

作者： Gómez-Gutiérrez, David Aldana-López, Rodrigo Seeber, Richard Angulo, Marco Tulio Fridman, Leonid Intel Tecnología de México Intel Labs Intelligent Systems Research Lab Jalisco Mexico Tecnológico Nacional de México Instituto Tecnológico José Mario Molina Pasquel y Henríquez Unidad Académica Zapopan Jalisco Mexico Zaragoza Spain Graz University of Technology Institute of Automation and Control Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria CONACyT - Institute of Mathematics Universidad Nacional Autonoma de México Juriquilla Mexico Universidad Nacional Autonoma de México Engineering Faculty Ciudad Universitaria Mexico

There is a growing interest in differentiation algorithms that converge in fixed time with a predefined Upper Bound on the Settling Time (UBST). However, existing differentiation algorithms are limited to signals having an n-th order Lipschitz derivative. Here, we introduce a general methodology based on time-varying gains to circumvent this limitation, allowing us to design n-th order differentiators with a predefined UBST for the broader class of signals whose (n+1)-th derivative is bounded by a function with bounded logarithmic derivative. Unlike existing methods whose time-varying gain tends to infinity, our approach yields a time-varying gain that remains bounded at convergence time. We show how this last property maintains exact convergence using bounded gains when considering a compact set of initial conditions and improves the algorithm’s performance to measurement noise. © 2021, CC BY-NC-ND.

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A Robust PID Autotuning Method for Steam/Water Loop in Large Scale Ships

A Robust PID Autotuning Method for Steam/Water Loop in Large...

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作者： Zhao, Shiquan Ionescu, Clara M. De Keyser, Robin Liu, Sheng Ghent University Faculty of Engineering and Architecture Research group on Dynamical Systems Control Technologiepark 914 ZwijnaardeB9052 Belgium Harbin Engineering University College of Automation China

During the voyage of the ship, disturbances from the sea dynamics are frequently changing, and the ship's operation mode is also varied. Hence, it is necessary to have a good controller for steam/water loop, as the control task is becoming more challenging in large scale ships. In this paper, a robust proportional-integral-derivative (PID) autotuning method is presented and applied to the steam/water loop based on single sine tests for every sub-loop in the steam/water loop. The controller is obtained during which the user-defined robustness margins are guaranteed. Its performance is compared against other PID autotuners, and results indicate its superiority. © 2018

关键词： Ships

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Author Correction: Face-centered cubic carbon as a fourth basic carbon allotrope with properties of intrinsic semiconductors and ultra-wide bandgap

Communications Materials

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Communications Materials 2024年第1期5卷 1页

作者： Igor Konyashin Ruslan Muydinov Bernd Szyszka Antonio Cammarata Andrey Bondarev Athanasios Koliogiorgos Tomáš Polcar Marin Rusu Pierre-Olivier Colard Daniel Twitchen Nicola Palmer Element Six GmbH Staedeweg 18 36151 Burghaun Germany Chair Technologies for Thin Film Devices Technical University of Berlin Einsteinufer 25 10587 Berlin Germany Faculty of Electrical Engineering Department of Control Engineering Czech Technical University in Prague Technicka 2 16627 Prague 6 Prague Czech Republic Bernal Institute School of Engineering University of Limerick Limerick V94 T9PX Ireland Faculty of Mathematics and Physics Department of Condensed Matter Physics Charles University in Prague Ke Karlovu 5 12116 Prague 2 Prague Czech Republic Department Structure and Dynamics of Energy Materials Helmholtz-Zentrum Berlin für Materialien und Energie GmbH Hahn-Meitner-Platz 1 14109 Berlin Germany Element Six Global Innovation Centre Element Six Ltd Plot 9 Harwell Business ParkFermi Avenue Didcot OX11 0QR UK

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Analytical model of tilted driver–pickup coils for eddy current nondestructive evaluation

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Chinese Physics B 2018年第3期27卷 125-131页

作者： Bing-Hua Cao Chao Li Meng-Bao Fan Bo Ye Gui-Yun Tian School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment China University of Mining and TechnologyXuzhou 221116China School of Mechatronic Engineering China University of Mining and TechnologyXuzhou 221116China Faculty of Information Engineering and Automation Kunming University of Sciance and TechnologyKunming 650500China School of Electrical and Electronic Engineering Newcastle UniversityNewcastle upon Tyne NE17RUUK

A driver-pickup probe possesses better sensitivity and flexibility due to individual optimization of a *** is fre-quently observed in an eddy current(EC)array *** this work,a tilted non-coaxial driver-pickup probe above a multilayered conducting plate is analytically modeled with spatial transformation for eddy current nondestructive ***,the core of the formulation is to obtain the projection of magnetic vector potential(MVP)from the driver coil onto the vector along the tilted pickup coil,which is divided into two key *** first step is to make a projection of MVP along the pickup coil onto a horizontal plane,and the second one is to build the relationship between the pr,ojected MVP and the MVP along the driver ***,an analytical model for the case of a layered plate is established with the reflection and transmission theory of electromagnetic *** calculated values from the resulting model indicate good agreement with those from the finite element model(FEM)and experiments,which validates the developed analytical model.

关键词： nondestructive evaluation eddy currents tilted coils analytical model

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Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers

arXiv

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arXiv 2020年

作者： Zhang, Xiao Wu, Dongrui Ding, Lieyun Luo, Hanbin Lin, Chin-Teng Jung, Tzyy-Ping Chavarriaga, Ricardo Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China School of Civil Engineering and Mechanics Huazhong University of Science and Technology Wuhan430074 China Centre of Artificial Intelligence Faculty of Engineering and Information Technology University of Technology Sydney Sydney2007 Australia La Jolla CA92093 United States Center for Advanced Neurological Engineering Institute of Engineering in Medicine UCSD La Jolla CA92093 United States ZHAW DataLab Zürich University of Applied Sciences Winterthur8401 Switzerland

An electroencephalogram (EEG) based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g., amyotrophic lateral sclerosis patients, who have no other effective means of communication with another person or a computer. Most studies so far focused on making EEG-based BCI spellers faster and more reliable;however, few have considered their security. This study, for the first time, shows that P300 and steady-state visual evoked potential BCI spellers are very vulnerable, i.e., they can be severely attacked by adversarial perturbations, which are too tiny to be noticed when added to EEG signals, but can mislead the spellers to spell anything the attacker wants. The consequence could range from merely user frustration to severe misdiagnosis in clinical applications. We hope our research can attract more attention to the security of EEG-based BCI spellers, and more broadly, EEG-based BCIs, which has received little attention before. Copyright © 2020, The Authors. All rights reserved.

关键词： Electroencephalography

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What Is Required to Prevent a Second Major Outbreak of SARS-CoV-2 upon Lifting Quarantine in Wuhan City,China

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The Innovation 2020年第1期1卷 152-157页

作者： Lei Zhang Mingwang Shen Xiaomeng Ma Shu Su Wenfeng Gong Jing Wang Yusha Tao Zhuoru Zou Rui Zhao Joseph T.F.Lau Wei Li Feng Liu Kai Ye Youfa Wang Guihua Zhuang Christopher K.Fairley China-Australia Joint Research Center for Infectious Diseases School of Public HealthXi’an Jiaotong University Health Science CenterXi’anShaanxi 710061PR China Melbourne Sexual Health Centre Alfred HealthMelbourneAustralia Central Clinical School Faculty of MedicineNursing and Health SciencesMonash UniversityMelbourneVICAustralia Department of Epidemiology and Biostatistics College of Public HealthZhengzhou UniversityZhengzhou 450001 HenanChina Institute of Health Policy Management and Evaluation University of TorontoTorontoONCanada School of Public Health and Preventive Medicine Faculty of MedicineMonash UniversityMelbourneAustralia Centre for Research Behaviors Centre for Health Behaviours ResearchSchool of Public Health and Primary CareThe Chinese University of Hong KongHong KongHong Kong Bill and Melinda Gates Foundation SeattleWAUSA Department of Epidemiology and Health Statistics School of Public HealthSoutheast UniversityNanjing210009 JiangsuChina Shaanxi Provincial Center for Disease Control and Prevention Xi’an710054 ShaanxiChina MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’an 710049 China School of Automation Science and Engineering Faculty of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’an 710049 China Genome Institute the First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an 710061 China The School of Life Science and Technology Xi’an Jiaotong UniversityXi’an 710049 China Global Health Institute Department of Epidemiology and BiostatisticsSchool of Public HealthXi’an Jiaotong University Health Science CenterXi’anShaanxi 710061China

BACKGROUND The Chinese government implemented a metropolitan-wide quarantine of Wuhan city on 23rd January 2020 to curb the epidemic of the coronavirus *** of this quarantine is *** modelled the effects of two key hea... 详细信息

关键词： Wuhan break Major

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ℋ2 sub-optimal model reduction for second-order network systems

ℋ2 sub-optimal model reduction for second-order network sys...

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IEEE Conference on Decision and control

作者： Lanlin Yu Xiaodong Cheng Jacquelien M.A. Scherpen Emma Gort Department of Automation University of Science and Technology of China Hefei China Control Systems Group Eindhoven University of Technology Einhoven The Netherlands Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Groningen The Netherlands

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This paper studies a moment matching model reduction method for second-order network systems. For a given complex second-order network system, our goal is to find a reduced second-order network system that achieves moment matching. Firstly, the original second-order network system is split into an asymptotically stable subsystem and an average subsystem. Then, moment matching approach is implemented to reduce the dimension of the asymptotically stable subsystem. The resulting reduced-order model is combined with the average subsystem, leading to a reduced second-order system preserves the semistability. Subsequently, a specific coordinate transform allows for the reduced-order model to be converted to a complete network. A mass-spring-damper network demonstrates the effectiveness of the proposed method.

关键词： Reduced order systems Damping Approximation error Laplace equations Interpolation Eigenvalues and eigenfunctions Approximation algorithms

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Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack Algorithm

Scheduling for Re-entrant Hybrid Flowshop Based on Wolf Pack...

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2018 International Conference on Advanced Materials, Intelligent Manufacturing and automation, AMIMA 2018

作者： Han, Zhonghua Tian, Xutian Ma, Xiaofu Lin, Shuo Faculty of Information and Control Engineering Shenyang Jianzhu University Liaoning110168 China Digital Factory Department Shenyang Institute of Automation CAS Shenyang110016 China Information and Control Engineering Faculty Shenyang Jianzhu University Liaoning110168 China Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States

In order to solve the scheduling problems of Re-entrant Hybrid Flowshop (RHFS), this paper investigates the mathematical programming model of RHFS, and proposes the wolf pack based algorithm (WPA) as a global optimization method. Multi-Sticking Crape Masking procedure scheduling problems in painting workshop of a bus manufacturing enterprise are of typical features of RHFS. We regard it as an application objective of the proposed algorithm, applying WPA and multiple evolutionary algorithms to solve the problems. The results show that the algorithm can solve re-entrant scheduling problems of hybrid flowshop more effectively compared with other conventional methods. © Published under licence by IOP Publishing Ltd.

关键词： Global optimization

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Deep Deterministic Policy Gradient for Navigation of Mobile Robots in Simulated Environments

Deep Deterministic Policy Gradient for Navigation of Mobile ...

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International Conference on Advanced Robotics (ICAR)

作者： Junior C. Jesus Jair A. Bottega Marco A. S. L. Cuadros Daniel F. T. Gamarra Faculty of Automation and Control Engineering Federal University of Santa Maria Santa Maria Rio Grande do Sul Federal Institute of Espirito Santo Federal University of Santa Maria

This paper presents a study of a deep reinforcement learning technique that uses a Deep Deterministic Policy Gradient network for application in navigation of mobile robots. In order for the robot to arrive to a target on a map, the network has 10 laser range findings, the previous linear and angular velocity, and relative position and angle of the mobile robot to the target as inputs. As outputs, the network has the linear and angular velocity. From the results analysis, it is possible to conclude that the deep reinforcement learning's algorithms, with continuous actions, are effective for decision-make of a robotic vehicle. However, it is necessary to create a good reward system for the intelligent agent to accomplish your objectives. This research uses different virtual simulation environments provided by ROBOTIS in the robot simulation software Gazebo in order to test the performance of the algorithm. A supplementary video can be accessed at the following link: https://***/NhGxEC3g7sU. That shows the performance of the proposed system.

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