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International Conference on Information Fusion

作者： Xi Li Le Yang Lyudmila Mihaylova Fucheng Guo Min Zhang School of Electronic Science National University of Defense Technology Changsha China Department of ECE University of Canterbury Christchurch New Zealand Department of Automatic Control & System Engineering University of Sheffield Sheffield UK

The Gaussian mixture model (GMM) has been extensively investigated in nonlinear/non-Gaussian filtering problems. This paper presents two enhancements for GMM-based nonlinear filtering techniques, namely, the adaptive ordering of the measurement update and normalized innovation square (NlS)-based mixture component management The first technique selects the order of measurement update by maximizing the marginal measurement likelihood to improve performance. The second approach takes the filtering history of a mixture component into account and prunes those components with NIS larger than a threshold to eliminate their impact on the filtering posterior. The advantage of the proposed enhancements is illustrated via simulations that consider source tracking using the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements received at two unmanned aerial vehicles (UAVs). A GMM-cubature quadrature Kalman filter (CQKF) is implemented and its performances with different measurement update and mixture component management strategies are compared. The superior performance obtained via the use of the two proposed techniques is demonstrated.

关键词： Time measurement Covariance matrices Noise measurement Frequency measurement Weight measurement Merging Kalman filters

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Active Flow control on Airfoils by Reinforcement Learning

SSRN

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SSRN 2023年

作者： Portal-Porras, Koldo Fernandez-Gamiz, Unai Zulueta, Ekaitz Garcia-Fernandez, Roberto Berrizbeitia, Saioa Etxebarria Nuclear Engineering and Fluid Mechanics Department Faculty of Engineering of Vitoria-Gasteiz University of the Basque Country UPV/EHU Nieves Cano 12 Araba Vitoria-Gasteiz01006 Spain Automatic Control and System Engineering Department Faculty of Engineering of Vitoria-Gasteiz University of the Basque Country UPV/EHU Nieves Cano 12 Araba Vitoria-Gasteiz01006 Spain Sunsundegui S.A. Poligono Ibarrea s/n Navarra Altsasu31800 Spain Mechanical Engineering Department Faculty of Engineering of Vitoria-Gasteiz University of the Basque Country UPV/EHU Nieves Cano 12 Araba Vitoria-Gasteiz01006 Spain

In recent years, wind energy is gaining importance, with the aim of achieving a clean and sustainable energy model. However, an enhancement in wind turbine performance is still required to compete with traditional energy sources. The implementation of flow control devices in airfoils is one of the most common solutions to achieve this improvement. Among flow control devices several alternatives are available, but devices with reactive control are the most effective, due to their capacity to adapt to instantaneous conditions of the flow. This study proposes a control strategy based on a Reinforcement Learning (RL) agent to effectively govern the motion of a rotating flap implemented on a NACA0012 airfoil. With this objective, first different Computational Fluid Dynamics (CFD) simulations are conducted to gather data about the tested case. Then, a numerical model based on Artificial Neural Networks (ANN) is developed to model the discussed case. Finally, the RL agent is trained and tested under different conditions. The results show that the trained RL agent is able to provide a fast and reliable response for every tested condition, setting the adequate position of the flap and obtaining an appropriate aerodynamic performance of the airfoil. © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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Automation Software Architecture in CPPS - Definition, Challenges and Research Potentials

Automation Software Architecture in CPPS - Definition, Chall...

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Industrial Cyber-Physical systems (ICPS)

作者： Birgit Vogel– Heuser Eva– Maria Neumann Juliane Fischer Marga Marcos Elisabet Esté vez Esté vez Giacomo Barbieri Lisa Sonnleithner Rick Rabiser Institute of Automation and Information Systems TUM School of Engineering and Design Core Member of MDSI Member of MIRMI Technical University of Munich Garching Germany Institute of Automation and Information Systems TUM School of Engineering and Design Technical University of Munich Garching Germany Department of Automatic Control and System Engineering ETSI Bilbao Basque Country University Bilbao Spain Electronics and Automation Engineering Department University of Ja&#x00E9 n Ja&#x00E9 n Spain Department of Mechanical Engineering Universidad de los Andes Bogot&#x00E1 Colombia CDL VaSiCS LIT CPS Lab Johannes Kepler University Linz Linz Austria

The importance of a mature, maintainable design of automation software in Cyber-Physical Production systems (CPPS) is continuously increasing since a growing proportion of the system functionality is implemented via software. As a result, system complexity is shifting more and more towards the software side. Quality characteristics such as flexibility, maintainability, and extensibility, whose importance is increasing in the context of Industry 4.0, are thus becoming harder to achieve. These challenges can only be solved through sound architectural design. While there is a common understanding of good software architecture and appropriate methods to achieve it in computer science, a suitable architecture definition for automation software that takes all relevant factors into account is still missing in the field of CPPS. Therefore, based on a workshop with international scientists with different perspectives on CPPS, this paper presents influencing factors on automation software architecture. On this basis, a joint definition for software architecture in CPPS, as well as challenges and future research potentials, are derived.

关键词： Computer science Production systems Software architecture Conferences Computer architecture Cyber-physical systems Software

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A comparative study on D converter based on control schemes of maximum extracted power

A comparative study on D converter based on control schemes ...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Ahmad El Khateb M.N. Uddin N. A. Rahim Barry W. Williams Automatic Control and Human-Machine Systems LAMIH UMR/CNRS Valenciennes France Electronic Engineering Department Tsinghua University Tsinghua National Laboratory for Information Science and Technology (TNList) Beijing P. R. China Shenzhen City Key Laboratory of Digital TV System Valeo Powertrain Systems Amiens France National Engineering Lab. for DTV(Beijing) Beijing P. R. China

ISBN: (纸本)9781479983988

This paper presents analysis and control of D converter, which has continuous input and output current to obtain maximum power transfer from a photovoltaic (PV) system. Examining the maximum power involves optimization and control techniques that ensure maximum power extraction enhancement. Traditional converters have rather high input ripple current that originates considerable loss of power extraction when linked to photovoltaic panels. Operating with zero input ripple current enlarges the power obtained from the PV panel without employing electrolytic capacitor. Experiment and simulation of the converter performance support and extol the system concept and establish a balanced view among several types of used controllers as well.

关键词： Inverters Capacitors Photovoltaic systems Radiation effects control systems Fuel cells

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A Review of Industrial Heat Exchange Optimization

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IOP Conference Series: Earth and Environmental Science 2018年第4期108卷

作者： Junjie Yao Department of Automatic Control System Engineering University of Sheffield Sheffield. S1 4DH U.K.

Heat exchanger is an energy exchange equipment, it transfers the heat from a working medium to another working medium, which has been wildly used in petrochemical industry, HVAC refrigeration, aerospace and so many other fields. The optimal design and efficient operation of the heat exchanger and heat transfer network are of great significance to the process industry to realize energy conservation, production cost reduction and energy consumption reduction. In this paper, the optimization of heat exchanger, optimal algorithm and heat exchanger optimization with different objective functions are discussed. Then, optimization of the heat exchanger and the heat exchanger network considering different conditions are compared and analysed. Finally, all the problems discussed are summarized and foresights are proposed.

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Interoperability platform for virtual and remote laboratories

Interoperability platform for virtual and remote laboratorie...

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2012 9th International Conference on Remote engineering and Virtual Instrumentation, REV 2012

作者： Fernandez, J. Bragós, R. Cabrera, M. Abelló, A. Arroyo, N. González, D. Garófano, F. Cortés, A. Fabra, A. Escola Tècnica Superior d'Enyineria de Telecomunicacions de Barcelona/Telecom-BCN Universitat Politècnica de Catalunya - BarcelonaTech Barcelona Spain Facultat d'Informàtica de Barcelona Universitat Politècnica de Catalunya - BarcelonaTech Barcelona Spain Everis Av. Diagonal 605 E-08028 Barcelona Spain Department of Automatic Control Universitat Politenica de Catalunya - BarcelonaTech C/ Jordi Girona 1-3 E-08034 Barcelona Spain Department of Electronic Engineering Universitat Politenica de Catalunya-BarcelonaTech C/ Jordi Girona 1-3 E-08034 Barcelona Spain Department of Signal Theory and Communications Universitat Politenica de Catalunya-BarcelonaTech C/ Jordi Girona 1-3 E-08034 Barcelona Spain Department of Service and Information System Engineering Universitat Politenica de Catalunya-BarcelonaTech C/ Jordi Girona 1-3 E-08034 Barcelona Spain

ISBN: (纸本)9781467325424

This communication describes the interoperability platform that has been developed at the Technical University of Catalonia (UPC) to integrate the access to different virtual and remote laboratories. Up to eleven laboratories that belong to the GilabViR group of interest in virtual and remote laboratories in our University have been analyzed to generate a set of specifications and develop the architecture and the applications that would allow its access through the university LMS system. Although the current LMS platform (Atenea) is implemented over Moodle 1.9, the new modules have been developed using Moodle 2.2.1 given that the migration to this version will be done in the next months. The interoperability platform defines new Moodle modules that allow the interconnection between the LMS system and a set of laboratories and provide the intrinsic LMS features (user identification, activity recording, educational materials repository, ...). There are modules that allow the interaction with a web service interface giving access to the laboratory, with Java applet virtual laboratories and others that make possible the link with LabView based remote laboratories, all of them with recording of experiment parameters in SQL databases placed in the experiment servers. © 2012 IEEE.

关键词： Interoperability

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Intelligent sitting postural anomaly detection system for wheelchair users with unsupervised techniques

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Digital Communications and Networks 2024年

作者： Patrick Vermander Aitziber Mancisidor Raffaele Gravina Itziar Cabanes Giancarlo Fortino Department of Automatic Control and System Engineering University of the Basque Country (UPV/EHU) Bilbao 48013 Spain Department of Informatics Modeling Electronics and Systems Engineering University of Calabria (UNICAL) Rende 87036 Italy

Detecting sitting posture abnormalities in wheelchair users enables early identification of changes in their functional status. To date, this detection has relied on in-person observation by medical specialists. However, given the challenges faced by health specialists to carry out continuous monitoring, the development of an intelligent anomaly detection system is proposed. Unlike other authors, where they use supervised techniques, this work proposes using unsupervised techniques due to the advantages they offer. These advantages include the lack of prior labeling of data, and the detection of anomalies previously not contemplated, among others. In the present work, an individualized methodology consisting of two phases is developed: characterizing the normal sitting pattern and determining abnormal samples. An analysis has been carried out between different unsupervised techniques to study which ones are more suitable for postural diagnosis. It can be concluded, among other aspects, that the utilization of dimensionality reduction techniques leads to improved results. Moreover, the normality characterization phase is deemed necessary for enhancing the system's learning capabilities. Additionally, employing an individualized approach to the model aids in capturing the particularities of the various pathologies present among subjects.

关键词： Sitting posture monitoring Anomaly detection Assistive technology Pressure sensors Unsupervised techniques Individualization Wheelchair

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LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring

arXiv

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arXiv 2024年

作者： Huang, Jingwei Wang, Chuansheng Huang, Jiayan Fan, Haoyi Grau, Antoni Zhang, Fuquan The College of Computer and Big Data Fuzhou University Fuzhou China The Department of Automatic Control Polytechnic University of Catalonia Barcelona Spain The New Engineering Industry College Putian University Putian China School of Computer and Artificial Intelligence Zhengzhou University China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China College of Computer and Control Engineering Minjiang University Fuzhou China Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu China Fuzhou Technology Innovation Center of Intelligent Manufacturing information System Minjiang University Fuzhou China Fujian Polytechnic Normal University Fujian Province University Fuzhou China

Driver drowsiness electroencephalography (EEG) signal monitoring can timely alert drivers of their drowsiness status, thereby reducing the probability of traffic accidents. Graph convolutional networks (GCNs) have shown significant advancements in processing the non-stationary, time-varying, and non-Euclidean nature of EEG signals. However, the existing single-channel EEG adjacency graph construction process lacks interpretability, which hinders the ability of GCNs to effectively extract adjacency graph features, thus affecting the performance of drowsiness monitoring. To address this issue, we propose an edge-end lightweight dual graph convolutional network (LDGCN). Specifically, we are the first to incorporate neurophysiological knowledge to design a Baseline Drowsiness Status Adjacency Graph (BDSAG), which characterizes driver drowsiness status. Additionally, to express more features within limited EEG data, we introduce the Augmented Graph-level Module (AGM). This module captures global and local information at the graph level, ensuring that BDSAG features remain intact while enhancing effective feature expression capability. Furthermore, to deploy our method on the fourth-generation Raspberry Pi, we utilize Adaptive Pruning Optimization (APO) on both channels and neurons, reducing inference latency by almost half. Experiments on benchmark datasets demonstrate that LDGCN offers the best trade-off between monitoring performance and hardware resource utilization compared to existing state-of-the-art algorithms. All our source code can be found at https://***/BryantDom/Driver-Drowsiness-Monitoring. Copyright © 2024, The Authors. All rights reserved.

关键词： Electroencephalography

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Annual business and news: Beginning the 32nd year

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Journal of Guidance, control, and Dynamics 2009年第1期32卷 1-7页

作者： Schmidt, George T. Akella, Maruthir Balakrishnan, S.N. Campbell, Mark E. Clarke, John-Paul Colgren, Richard D. Crassidis, John L. Doman, David B. Eke, Fidelis O. Enns, Russell J. Gawronski, Wodek Hablani, Hari B. Leitner, Jesse A. Ping, Lu MacDonald, Malcolm McFarland, Michael B. Melton, Robert G. Mitchell, James Mukhopadhyay, Vivekanand Sasiadek, Jurek Z. Schaub, Hanspeter Wise, Kevin A. United States NATO Systems and Electronics Technology Panel Lecture Series on Low Cost Navigation Sensors and Integration Technology U.S. Air Force Office of Scientific Research United States United States American Automatic Control Council United States Sibley School of Mechanical and Aerospace Engineering Cornell University United States School of Aerospace Engineering Air Transportation Laboratory Georgia Institute of Technology United States Lockheed Martin Aeronautics Company Palmdale CA United States United States Wright-Patterson Air Force Base Dayton OH United States Davis United States Apache Longbow Jet Propulsion Laboratory California Institute of Technology United States GSFC United States Department of Aerospace Engineenng Iowa State University United States Raytheon Electronic Systems United States Department of Aerospace Engineering Pennsylvania State University United States NASA Langley Research Center United States Indian Institute of Technology India Department of Aerospace Engineering Carleton University Canada International Federation of Automatic Control Robotics Technical Committee Joint Robotics and Control Systems Societies Chapter Ottawa Canada X-45 Joint-Unmanned Combat Air System Program

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Preface

Lecture Notes in Business Information Processing

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Lecture Notes in Business Information Processing 2017年 279卷 VII-XI页

作者： Za, Stefano Drăgoicea, Monica Cavallari, Maurizio Faculty of Economics eCampus University Rome Italy Department of Automatic Control and System Engineering University Politehnica of Bucharest Bucharest Romania Università Cattolica del Sacro Cuore Milan Italy

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