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Wrist tremor suppression based on repetitive control with multi-muscle electrical stimulation ⁎

IFAC-PapersOnLine 2019年第29期52卷 31-36页

作者： Zan Zhang Bing Chu Yanhong Liu Haichuan Ren D.H. Owens School of Electrical Engineering Zhengzhou University Zhengzhou China Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ UK Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street Sheffield S1 3JD UK

Tremor is a rhythmic, alternating swing motion caused by involuntary repetition of muscle contraction and relaxation. Although it does not endanger life, it will make the work and daily life of patients difficult. Functional electrical stimulation (FES) has been shown as a promising technique for tremor suppression. Wrist motion is produced by a group of muscles in a collective and coordinate way. However, existing FES-based design methods mostly aim at one pair of muscles associated with the wrist motion, thus limiting the performance of tremor suppression. Furthermore, the possible high level of stimulation required for a single muscle pair can also accelerate muscle fatigue of the patients. To address these problems, this paper uses multiple muscles FES to suppress tremor by fully considering the properties of wrist motion. This paper develops a wrist musculoskeletal model with Hammerstein structure, identifies its parameters, and proposes repetitive controllers based on frequency modified inverse algorithm to suppress tremor. Experimental results are presented to demonstrate its advantages over single muscle stimulation based tremor suppression.

关键词： Tremor suppression functional electrical stimulation (FES) repetitive control multi-muscle electrical stimulation experimental verification

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Preface

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2021年 485卷 v-viii页

作者： Faulwasser, Timm Müller, Matthias A. Worthmann, Karl Department of Electrical Engineering and Information Technology Institute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany Faculty of Electrical Engineering and Computer Science Institute of Automatic Control Leibniz University Hannover Hannover Germany Faculty of Mathematics and Natural Sciences Institute for Mathematics Optimization-based Control Technische Universität Ilmenau Ilmenau Germany

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The 2024 Active Metamaterials Roadmap

arXiv

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arXiv 2024年

作者： Pope, Simon A. Roth, Diane J. Bansal, Aakash Mousa, Mostafa Rezanejad, Ashkan Forte, Antonio E. Nash, Geoff.R. Singleton, Lawrence Langfeldt, Felix Cheer, Jordan Henthorn, Stephen Hooper, Ian R. Hendry, Euan Powell, Alex W. Souslov, Anton Plum, Eric Sun, Kai de Groot, C.H. Muskens, Otto L. Shields, Joe De Galarreta, Carlota Ruiz Wright, C. David Kocabas, Coskun Ergoktas, M. Said Xiao, Jianling Schulz, Sebastian A. Di Falco, Andrea Krasavin, Alexey V. Zayats, Anatoly V. Galiffi, Emanuele Department of Automatic Control and Systems Engineering The University of Sheffield Amy Johnson Building Portobello Street SheffieldS1 3JD United Kingdom Department of Physics London Centre for Nanotechnology King’s College London Strand WC2R 2LS United Kingdom Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough University United Kingdom Department of Engineering King’s College London LondonWC2R 2LS United Kingdom Natural Sciences University of Exeter Harrison Building North Park Road Exeter United Kingdom Institute of Sound & Vibration Research University of Southampton University Road Southampton United Kingdom Department of Electronic and Electrical Engineering University of Sheffield Sheffield United Kingdom Centre for Metamaterial Research and Innovation University of Exeter Stoker Road ExeterEX4 4QL United Kingdom T.C.M. Group Cavendish Laboratory University of Cambridge CambridgeCB3 0HE United Kingdom Optoelectronics Research Centre Centre for Photonic Metamaterials University of Southampton Highfield SouthamptonSO17 1BJ United Kingdom School of Physics and Astronomy University of Southampton Southampton United Kingdom Electronics and Computer Science University of Southampton Southampton United Kingdom Institute of Materials Science of Barcelona Universitat Autònoma de Barcelona Bellaterra Barcelona08193 Spain Department of Materials National Graphene Institute University of Manchester United Kingdom Schoolof Physics and Astronomy University of St Andrews North Haugh Fife St. AndrewsKY16 9SS United Kingdom Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Photonics Initiative Advanced Science Research Centre City University of New York 85 St. Nicholas Terrace New YorkNY10027 United States

Active metamaterials are engineered structures that possess novel properties that can be changed after the point of manufacture. Their novel properties arise predominantly from their physical structure, as opposed to their chemical composition and can be changed through means such as direct energy addition into wave paths, or physically changing/morphing the structure in response to both a user or environmental input. Active metamaterials are currently of wide interest to the physics community and encompass a range of sub-domains in applied physics (e.g. photonic, microwave, acoustic, mechanical, etc.). They possess the potential to provide solutions that are more suitable to specific applications, or which allow novel properties to be produced which cannot be achieved with passive metamaterials, such as time-varying or gain enhancement effects. They have the potential to help solve some of the important current and future problems faced by the advancement of modern society, such as achieving net-zero, sustainability, healthcare and equality goals. Despite their huge potential, the added complexity of their design and operation, compared to passive metamaterials creates challenges to the advancement of the field, particularly beyond theoretical and lab -based experiments. This roadmap brings together experts in all types of active metamaterials and across a wide range of areas of applied physics. The objective is to provide an overview of the current state of the art and the associated current/future challenges, with the hope that the required advances identified create a roadmap for the future advancement and application of this field. Copyright © 2024, The Authors. All rights reserved.

关键词： Microwave acoustics

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Information support of daily scrum meetings 13

Information support of daily scrum meetings

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13th International Conference on Strategic Management and Its Support by Information systems, SMSIS 2019

作者： Ministr, Jan Pitner, Tomas Danel, Roman Chaplyha, Vyacheslav VSB - Technical University of Ostrava Faculty of Economics Department of Applied Informatics 17. Listopadu 2172/15 Ostrava-Poruba70800 Czech Republic Masaryk University Faculty of Informatics Department of Computer Systems and Communications Botanická 68a Brno Czech Republic Technical and Economic University in Českś Budějovice Faculty of Technology Department of Civil Engineering Okružní 517/10 Českś Budějovice370 01 Czech Republic Lviv National Agrarian University Department Automatic Control and Computer-Integrated Technologies 1 V. Velykoho Str. Dublyany Lviv region80381 Ukraine

ISBN: (纸本)9788024843063

The vast majority of the software developers use the agile framework for project management. Agile approach provides more flexibility and adaption to the changes against classic software development approach. The key methodology of agile approach represents the scrum. The core of scrum management forms sprint, which represents a time shift activity and envelops all other events of scrum. The outcome of the sprint should be the increment in development of the project, which is possible to submit to the customers or the users. The paper maps the possibilities of visualization of the course of individual sprints at everyday meetings of the research team (stand up meetings), which have a decisive influence on the quality of communication of the research team and the overall success of the project. © 2019 VSB-Technical University of Ostrava. All rights reserved.

关键词： Project management

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Brain Mapping using a Blockchain Approach

Brain Mapping using a Blockchain Approach

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E-Health and Bioengineering Conference (EHB)

作者： Felix-Constantin Adochiei Radu Ciucu Ioana Raluca Adochiei Florin Ciprian Argatu Bogdan Enache Casian Miron George Seritan Faculty of Electrical Engineering University Politehnica of Bucharest Romania Department of Aircraft Integrated Systems and Mechanics Military Technical Academy "Ferdinand I" Bucharest Romania Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Romania

In this paper we propose a pipeline for brain mapping using a decentralized database with a blockchain architecture. We use a two-layer model for a distributed imaging data ledger capable of version control and authoring augmented data. Our platform is capable of direct volume rendering inside a browser window using WebGL. The data visualization pipeline allows for real-time multi-intensity transfer functions and global opacity of a given imaging recording. The platform is intended as a collaboration tool for multiple imaging laboratories and institutes and aims to help in organizing augmented data and multiple level-of-detail recordings used on a wide array of devices. We believe our platform will aid in brain mapping efforts for classification, measurement and visualization of cortical structures trough the aid of virtual reality and a scalable backend based on a standard blockchain technology.

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A note on the stability analysis of a class of nonlinear systems - AN LMI approach

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2018年第4期80卷 3-10页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

The main goal of the paper is to study the equilibria of a nonlinear system, proving the existence and uniqueness of an equilibrium point in the positive ortant. We also provide numerically tractable conditions (by using Linear Matrix Inequalities techniques) to check the asymptotic stability of the equilibrium point. An illustrative numerical example is closing the paper along with some conclusions. © 2018, Politechnica University of Bucharest. All rights reserved.

关键词： Nonlinear systems

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Decentralized Pose control of Modular Reconfigurable Robots Operating in Liquid Environments

Decentralized Pose Control of Modular Reconfigurable Robots ...

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2019 IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： João V. Amorim Marques Anil Özdemir Matthew J. Doyle Daniela Rus Roderich Groß Department of Automatic Control and Systems Engineering The University of Sheffield Mappin St Sheffield S1 3JD UK Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology 32 Vassar St Cambridge MA USA

Modular reconfigurable robots are touted for their flexibility, as their bodies can assume a wide range of shapes. A particular challenge is to make them move efficiently in 3D without compromising the scalability of the system. This paper proposes decentralized and fully reactive controllers for pose control of 3D modular reconfigurable robots. The robots operate in liquid environments, and move by routing fluid through themselves. Each module uses only two bits of sensory information per face. Additionally, the modules can use up to five bits of information that are exchanged via shared power lines. We prove that robots of convex shape are guaranteed to reach a goal object with a preferred orientation. Using computer simulations of Modular Hydraulic Propulsion robots, all controllers are assessed for different environments, system sizes and noise, and their performances compared against a centralized controller. Given the simplicity of the solutions, modules could be realized at scales below a millimeter-cube, where robots of high spatial resolution could perform accurate movements in 3D liquid environments.

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Green Energy Sources: Issues and Challenges

Green Energy Sources: Issues and Challenges

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Roedunet International Conference (RoEduNet)

作者： Mostafa Abdulghafoor Mohammed Inas Adnan Mohammed Raed.A. Hasan Nicolae Ţăpuş Ahmed Hussien Ali Omar A. Hammood Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania The Great Emam University College Baghdad University of Information Technology and Communications / college of Engineering/ Baghdad Iraq Faculty of Al-dour Technical institute Northern Technical University Mosel IRAQ Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania Computer Science Department AL Salam University College Baghdad Iraq Faculty of Computer Systems and Software Engineering UniversityMalaysia Pahang Malaysia

Mobile offloading is a platform that facilitates the distribution of computationally intensive tasks from mobile devices to the cloud or other devices in order to conserve energy and improve performance. The concept is practically based on the idea of exchanging relatively low communication energy for high computation power utilization. Efforts have been channeled towards energy conservation by clusters using Dynamic Power Management (DPM). This paper is a review for green energy sources for reducing energy and using energy consumption to manage sources by stating the latest studies of energy consumption and energy consumptions.

关键词： Energy consumption Task analysis Servers Energy efficiency Power system management Voltage control Cloud computing

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Development of a Decision Support Tool for Intelligent Manufacturing using Classification and Correlation Analysis

Development of a Decision Support Tool for Intelligent Manuf...

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IEEE International Conference on systems, Man and Cybernetics

作者： Dariusz Król Jan Skowroński Maciej Zareba Krzysztof Bartecki Department of Information Systems Faculty of Computer Science and Management Wrocław University of Science and Technology Poland Legnicka 55F 53–203 Wrocław Wrocław University of Science and Technology Poland DSR Legnicka 55F 53—203 Wrocław Poland Institute of Automatic Control Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Poland

The development of the Production Unit Performance Management Tool (PUPMT), a monitoring and diagnostic tool to select basic signals that have a significant impact on output KPIs, is based on a hierarchical analysis of key performance indicators presented in the ISO 22400 standard. The growing number of quantified signals, such as ambient temperature or even the frequency of vibrations makes decision support tools more intelligent. Moreover, they also include predictive analysis in addition to online presentation of the current state of resources. PUPMT tool allows identifying key events that have a significant impact on current or future benefit in production output. It also allows what-if type analysis, running the simulation of the impact of the proposed changes, and the results of this simulation depend on the effects of similar changes that occurred in the past in a given smart manufacturing environment. Thanks to the automatic identification of potential dependencies, the proposed solution adapts to the specifics of a given environment or even a selected production unit. The paper describes the most important methods featured in the tool. Specifically, it considers a signal classification method, a signal correlation analysis and selection of key factors affecting the efficiency of the production process. In order to verify the methods various tests were carried out to calculate and control of OEE index on 20 production units. Finally, we conclude current results and future research directions.

关键词： Conferences Cybernetics

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Learning Capsules for Vehicle Logo Recognition

Learning Capsules for Vehicle Logo Recognition

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International Conference on Information Fusion

作者： Ruilong Chen Md Asif Jalal Lyudmila Mihaylova Roger K Moore Department of Automatic Control and Systems Engineering University of Sheffield UK Department of Computer Science University of Sheffield UK

Vehicle logo recognition is an important part of vehicle identification in intelligent transportation systems. State-of-the-art vehicle logo recognition approaches use automatically learned features from Convolutional Neural Networks (CNNs). However, CNNs do not perform well when images are rotated and very noisy. This paper proposes an image recognition framework with a capsule network. A capsule is a group of neurons, whose length can represent the existence probability of an entity or part of an entity. The orientation of a capsule contains information about the instantiation parameters such as positions and orientations. Capsules are learned by a routing process, which is more effective than the pooling process in CNNs. This paper, for the first time, develops a capsule learning framework in the field of intelligent transportation systems. By testing with the largest publicly available vehicle logo dataset, the proposed framework gives a quick solution and achieves the highest accuracy (100%) on this dataset. The learning capsules have been tested with different image changes such as rotation and occlusion. Image degradations including blurring and noise effects are also considered, and the proposed framework has proven to be superior to CNNs.

关键词： Kernel Neurons Routing Biological neural networks Feature extraction Intelligent transportation systems Robustness

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