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作者： Lei Yue Pengfei Niu Yifang Fang Zhonghua Han Shenyang Institute of Automation Chinese Academy of Sciences Faculty of Information and Control Engineering Shenyang Jianzhu University

Researchers of information technology(IT) have often suggested that there is no clear relevance between the IT investment and return on investment(ROI) of *** phenomenon is called "productivity paradox".However,research on smart manufacturing capability maturity did not reflect empirically the fact that enterprises rarely benefit from information ***,the aim of this article attempts to explore how humans and technologies are related and propose a smart manufacturing maturity assessment framework that can reveal the interaction between humans and *** research addressed two questions,(a) what domains can be identified for smart manufacturing,and(b) how to harmonize all of the technical and social factors affecting maturity and benefits.A complicated concept "socio-technical system" was surveyed for interpreting how enterprises benefit from *** of this study showed a smart manufacturing maturity assessment framework from the socio-technical *** an explanation,the understanding of manufacturing operations management(MOM) capability maturity model(CMM) within the framework in the case study and its results were *** conclude,this study may be regarded as a meta-model or reference model for specific maturity models,as well as has the merit of offering valuable insights into the maturity assessment.

关键词： Towards a Smart Manufacturing Maturity Assessment Framework:A Socio-Technical Perspective Framework

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

H sub-optimal model reduction for second-order network syste...

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58th IEEE Conference on Decision and control, CDC 2019

作者： Yu, Lanlin Cheng, Xiaodong Scherpen, Jacquelien M.A. Gort, Emma University of Science and Technology of China Department of Automation Hefei230026 China Eindhoven University of Technology Control Systems Group Einhoven5600 MB Netherlands University of Groningen Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering Groningen9747 AG Netherlands

ISBN: (纸本)9781728113982

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. © 2019 IEEE.

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Robust Leader-Following Output Regulation of Uncertain Multi-Agent Systems With Time-Varying Delay

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IEEE/CAA Journal of Automatica Sinica 2018年第4期5卷 807-817页

作者： Ala Shariati Qing Zhao Automation&Control Research Group Faculty of Electrical and Computer EngineeringKhajeh Nasir Toosi University of TechnologyTehran ***Iran Department of Electrical and Computer Engineering at University of Alberta EdmontonAlberta T6R1Z6Canada

In this paper, the robust analysis and design of leader-following output regulation for multi-agent systems described by general linear models is given in presence of timevarying delay and model uncertainty. To this aim, a new regulation protocol for the closed-loop multi-agent system under a directed graph is proposed. An important specification of the proposed protocol is to guarantee the leader-following output regulation for uncertain multi-agent systems with both stable and unstable agents. Since many signals can be approximated by a combination of the stationary and ramp signals, the presented results work for adequate variety of the leaders. The analysis and design conditions are presented in terms of certain matrix inequalities. The method proposed can be used for both stationary and ramp leaders. Simulation results are presented to show the effectiveness of the proposed method.

关键词： Linear matrix inequality(LMI) multi-agent systems robust leader-following output regulation time-varying delay

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Improved YOLOv3: Object Classification in Intelligent Transportation System

arXiv

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arXiv 2020年

作者： Zhang, Yang Hu, Changhui Lu, Xiaobo School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Southeast University Nanjing210096 China Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia

The technology of vehicle and driver detection in Intelligent Transportation System(ITS) is a hot topic in recent years. In particular, the driver detection is still a challenging problem which is conductive to supervising traffic order and maintaining public safety. In this paper, an algorithm based on YOLOv3 is proposed to realize the detection and classification of vehicle, driver and people on highway, so as to achieve the purpose of distinguishing driver and passenger and form a one-to-one correspondence between vehicles and drivers. The proposed model and contrast experiment are conducted on our self-build traffic driver’s face database. The effectiveness of our proposed algorithm is validated by extensive experiments and verified under various complex highway conditions. Compared with other advanced vehicle and driver detection technologies, the model has a good performance and is robust to road blocking, different attitudes and extreme lighting. Copyright © 2020, The Authors. All rights reserved.

关键词： Intelligent systems

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Effect of tin oxide coating on physical properties of silver nanowire transparent conductive electrodes

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Applied Physics A: Materials Science and Processing 2025年第6期131卷

作者： Nguyen, Thi Hong Nhung Luu, Ba Hoang Anh Pham, Sy Hieu Nguyen, Thi Thu Hien Tran, Quoc Hoan Pham, Anh Tuan Nguyen, Thi Lan Nguyen, Duy Cuong School of Materials Science and Engineering Hanoi University of Science and Technology No. 1 Dai Co Viet Str. Hai Ba Trung Hanoi Viet Nam Institute of Materials Science Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Hanoi Viet Nam Faculty of Power System Electric Power University 235 Hoang Quoc Viet Str Hanoi Viet Nam Faculty of Control and Automation Electric Power University 235 Hoang Quoc Viet Str Hanoi Viet Nam

Thin SnO2 layers were coated on the surface of silver nanowire transparent conductive electrodes (AgNW TCEs) by atmospheric pressure atomic layer deposition. After coating, the AgNWs have been fully covered on their surface with a layer of SnO2, and they are connected to the surface of the substrate. The sheet resistance sharply decreased from 170.86 Ω/ to 20.09 Ω/, while the transmittance reduced from 93.08 to 71.67%. The Joule-heating temperature of the transparent electrode increased from 117 °C to 251 °C. The best AgNW TCE was observed at 100 cycle SnO2 coating with a sheet resistance of 20.09 Ω/, transmittance of 88.91%, and figure of merit of 155.03. The adhesion of silver nanowires to the substrate significantly increased after coating SnO2. Results indicate that the SnO2 coating on the surface of AgNWs by atomic layer deposition is a highly attractive approach for improving the performance of AgNW TCEs. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Silver nanowires

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Reduced order modeling of diffusively coupled network systems: An optimal edge weighting approach

arXiv

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arXiv 2020年

作者： Cheng, Xiaodong Yu, Lanlin Ren, Dingchao Scherpen, Jacquelien M.A. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Institute of Advanced Technology Westlake Institute for Advanced Study Westlake University Hangzhou310024 China Department of Automation University of Science and Technology of China Hefei230026 China Jan C. Willems Center for Systems and Control Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands

This paper studies reduced-order modeling of dynamic networks with strongly connected topology. Given a graph clustering of an original complex network, we construct a quotient graph with less number of vertices, where the edge weights are parameters to be determined. The model of the reduced network is thereby obtained with parameterized system matrices, and then an edge weighting procedure is devised, aiming to select an optimal set of edge weights that minimizes the approximation error between the original and the reduced-order network models in terms of H2-norm. The effectiveness of the proposed method is illustrated by a numerical example. Copyright © 2020, The Authors. All rights reserved.

关键词： Complex networks

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Wavelet packet transform-based feature extraction for acoustic emission pattern recognition 9

Wavelet packet transform-based feature extraction for acoust...

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9th European Workshop on Structural Health Monitoring, EWSHM 2018

作者： Sheng, Wenjuan Wirtz, Sebastian Felix Söffker, Dirk College of Automation Engineering Shanghai University of Electric Power China Chair of Dynamics and Control University of Duisburg Essen Germany

Signal processing and feature extracting are two of the most important issues for carbon fiber reinfored polymer (CFRP) when establishing a relationship between a specific damage mechanism and its acoustic signature. Non-stationary acoustic emission (AE) signals are still hard to be precisely characterized with simple and direct signal processing. Proper feature extraction can assist signal processing methods to get more suitable characteristics for complex non-stationary AE signals which include various damage modes. In this paper, a new energy-difference-based wavelet packet transform (WPT) feature extraction method is proposed to solve the deficiencies of the existing methods. For comparing the performance of the new feature proposed, WPT coefficients-based features and frequency-band-based features are also used for classification of four damage modes including delamination, debonding, fiber breakage, and void. Support vector machines (SVMs) are trained to analyze the effectiveness of these three features. Experimental results show that the energy-difference-based WPT feature over-performs the other two WPT-based features with higher average classification accuracy of the four kinds of AE signal. © 2018 ***. All rights reserved.

关键词： Feature extraction

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The automated system for bandsaw blade properties measurement

The automated system for bandsaw blade properties measuremen...

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23rd International Conference on Circuits, Systems, Communications and Computers, CSCC 2019

作者： Sysala, Tomas Stuchlík, Karel Neumann, Petr TBU in Zlin Dept. of Automation and Control Engineering Faculty of Appl. Informatics Nad Stranemi 4511 Zlin Czech Republic TBU in Zlin Dept. of Electronics and Measurements Faculty of Applied Informatics Nad Stranemi 4511 Zlin Czech Republic

The article describes the bandsaw blade properties innovative method design and realization. The introduction contens individual bandsaw parts description, including their important parameters overview. The innovative methods design delineation follows. The constructed device based on our design minimizes the human error influence. Moreover, it is collecting and archiving measured data. The article covers also the design and software realization. In the end, some measured data examples are stated. © 2019 The Authors, published by EDP Sciences.

关键词： automation

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Data-Driven Modeling of a CO2 Refrigeration System

Data-Driven Modeling of a CO2 Refrigeration System

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American control Conference (ACC)

作者： Glenn Andreasen Jakob Stoustrup Roozbeh Izadi-Zamanabadi Ángel Á. Pardiñas Armin Hafner Faculty of Electrical Engineering Automation and Control Aalborg University Aalborg Denmark Danfoss A/S Denmark Department of Energy and Process Engineering NTNU Trondheim Norway

This paper describes a data-driven method for system identification of a CO 2 refrigeration system. Traditionally, the interaction between the measured variables is not utilized as they are highly dependent on the refrigeration system. In this work a data-driven method, namely subspace identification, is investigated for deriving a control-oriented model such that the dynamic interaction in the refrigeration systems can be utilized for e.g. fault detection and diagnosis. The subspace identification is applied on laboratory data obtained from a test setup located at NTNU in Trondheim, Norway. The obtained results offer promising perspectives for performance improvement in fault detection and diagnosis methods as well as control strategies.

关键词： Compressors Valves Temperature measurement Heating systems Receivers Coolants

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Agent DEVS simulation of the evacuation process from a commercial building during a fire 12th

Agent DEVS simulation of the evacuation process from a comme...

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12th International Scientific and Technical Conference Computer Science and Information Technologies, CSIT 2017

作者： Kulakowski, Andrzej Rogala, Bartosz Faculty of Electrical Engineering Automation Control and Computer Science Kielce University of Technology Kielce Poland

ISBN: (纸本)9783319705804

The paper describes a simulation application for the process of evacuating people from a building in the event of a fire. This simulation was developed as an agent system using the DEVS formalism. The following sections show the design and implementation of such a system using the Adevs library. A series of simulation tests were then performed for different simulation scenarios. © 2018, Springer International Publishing AG.

关键词： Office buildings

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