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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Isidro Calvo Federico Pérez Ismael Etxeberria Guadalupe Morán Dept. of Automatic Control and Systems Engineering University of the Basque Country (UPV/EHU) Spain Dept. of Computer Languages and Systems University of the Basque Country (UPV/EHU) Spain Electronics Division Faculty of Engineering Universidad Autónoma del Estado de Mexico Toluca Mexico Electronics Division Faculty of Engineering UAEM Toluca MEXICO

The IEC61499 is an open standard for distributed control and automation. The interface between control software and hardware or communications is achieved by means of the so-called Service Interface Function Blocks (SIFB). This paper presents the guidelines to build communication SIFBs based on the emerging OMG DDS (Data Distribution Service) middleware. This specification implements in a very efficient way the Publisher/Subscriber paradigm providing significant QoS configuration possibilities. These characteristics make DDS suitable for implementing the communications among time-critical devices. By using these DDS-SIFBs within IEC61499 code generation tools, the designers of the distributed applications will be allowed to use this powerful technology in the new distributed applications.

关键词： IEC standards Middleware Hardware Quality of service Distributed control Software Process control

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On the Reliability Degree of Hue and Saturation Values of a Pixel for Color Image Classification

On the Reliability Degree of Hue and Saturation Values of a ...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： S. Romani P. Sobrevilla E. Montseny Computer Engineering Math. Dept. Rovira I Virgili University Tarragona Spain Applied Mathematics Dept. Technical Univ. of Catalonia Barcelona Spain Comp. Eng. and Automatic Control. Dept. Technical Univ. of Catalonia Barcelona Spain

Variability of hue and saturation components is an important drawback for developing accurate color image segmentation algorithms based on HSI spaces: different colors can return similar color components because of the different illumination levels, and the components of a color change accordingly to the illumination level. To avoid these problems within color segmentation algorithms, we propose a method that, based on predicted hue and saturation deviations, provides the reliability degree of the H-S color components based obtained HIS values. The reliability degree has been used for improving color classification results

关键词： Pixel Color Lighting Colored noise computer vision Image segmentation Application software Humans Shadow mapping Reliability engineering

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Clustering in block Markov chains

arXiv

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arXiv 2017年

作者： Sanders, Jaron Proutière, Alexandre Yun, Se-Young Kth Royal Institute of Technology School of Electrical Engineering Dept. of Automatic Control Osquldasväg 10 Stockholm10044 Sweden Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Dept. of Quantum and Computer Engineering Mekelweg 4 Delft2628CD Netherlands Korea Advanced Institute of Science and Technology Dept. of Industrial and Systems Engineering 291 Daehak-ro Eoeun-dong Yuseong-gu Korea Republic of

This paper considers cluster detection in Block Markov Chains (BMCs). These Markov chains are characterized by a block structure in their transition matrix. More precisely, the n possible states are divided into a finite number of K groups or clusters, such that states in the same cluster exhibit the same transition rates to other states. One observes a trajectory of the Markov chain, and the objective is to recover, from this observation only, the (initially unknown) clusters. In this paper we devise a clustering procedure that accurately, efficiently, and provably detects the clusters. We first derive a fundamental information-theoretical lower bound on the detection error rate satisfied under any clustering algorithm. This bound identifies the parameters of the BMC, and trajectory lengths, for which it is possible to accurately detect the clusters. We next develop two clustering algorithms that can together accurately recover the cluster structure from the shortest possible trajectories, whenever the parameters allow detection. These algorithms thus reach the fundamental detectability limit, and are optimal in that sense. Copyright © 2017, The Authors. All rights reserved.

关键词： Asymptotic analysis

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IMPLEMENTATION OF CONSTRAINED PREDICTIVE OUTER-LOOP controlLERS: APPLICATION TO A BOILER control SYSTEM

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IFAC Proceedings Volumes 2002年第1期35卷 145-150页

作者： Fernando Tadeo Teresa Alvarez Mike Grimble Ramon Vilanova Departamento de Ingenieria de Sistemas y Automática Facultad de Ciencias. Universidad de Valladolid. 47011 Valladolid Spain Tlf:+34 983 423566 Fax:+34 983 423161 Industrial Control Centre Strathclyde University United Kingdom Automatic Control and Systems Engineering Group Dept. of Computer Science Universitat Autonoma de Barcelona 08193 Bellaterra – Barcelona Spain

This paper addresses the problem of implementing predictive controllers for supervisory level control systems. In this configuration the manipulated variables calculated by the Predictive controller are used as command signals for the Distributed control Systems, which provide references to the operator-tuned local PID controllers that act on the physical system. This structure introduces the problem of loosing of performance if the inner-loop controllers are re-tuned. The paper discusses the solution to this problem based on the use of a two-degrees-of-freedom structure in the inner loop, that separates open and closed-loop properties. Both design guidelines and robustness issues are discussed.

关键词： Supervisory control Predictive control

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A computer Vision-Based Solution for Assessing Prosthetic Leg Length Discrepancy

A Computer Vision-Based Solution for Assessing Prosthetic Le...

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E-Health and Bioengineering Conference (EHB)

作者： Otilia Zvorişteanu Dimitrie-Cristian Fodor Vasile-Ion Manta Neculai-Eugen Seghedin Ştefan-Daniel Achirei Dragoş-Florin Chitariu Dept. of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania “Dr. Iacob Czihac” Military Emergency Clinical Hospital Iaşi Dept. of Digital Production Systems Faculty of Machine Manufacturing and Industrial Management “Gheorghe Asachi” Technical University of Iaşi Iaşi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

This paper presents a novel computer vision-based approach for assessing leg length discrepancy (LLD) in individuals with prosthetic limbs. The proposed solution uses image processing techniques to detect markers placed on the patient's knee, prosthesis, and a reference wall, allowing for precise measurement of limb alignment. Through a comparative analysis of the initial reference position, set by a specialist, and the current limb positioning, the algorithm identifies discrepancies in leg length. The system employs a non-invasive methodology, utilizing an IP camera to capture images and communicate them via Wi-Fi to a computing unit for further analysis. Experimental validation, conducted on simulated LLDs ranging from 1mm to 10mm, demonstrates the system's high sensitivity and accuracy in detecting subtle changes in limb alignment. This approach offers a scalable, automated alternative to traditional manual methods, improving both the reliability and ease of prosthetic adjustments.

关键词： Legged locomotion Wireless communication Limbs Prosthetic limbs Current measurement Manuals Cameras Reliability IP networks Wireless fidelity

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An integrated multifunction DC/DC converter for PV generation systems

An integrated multifunction DC/DC converter for PV generatio...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Lin Ma Kai Sun Remus Teodorescu Josep M. Guerrero Xinmin Jin Department of Energy Technology Aalborg University Aalborg Denmark School of Electrical Engineering Beijing Jiao Tong University Beijing China State Key Lab of Power Systems Tsinghua University Beijing China Dept. of Automatic Control Systems and Computer Engineering Universitat Politecnica de Catalunya Barcelona Spain

Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated DC/DC converter is proposed to realize high performance interfaces for PV array, battery and load. This converter consists of a boost converter for the PV array and a buck/boost converter for the battery, which can realize multifunction including power generation, charge and discharge. The grid-connected and stand-alone operation modes of this converter are analyzed. From this analysis, the control strategies are developed for both modes. A coordination scheme is proposed for the power balance at the stand-alone mode. Simulation and experiments verify the practical feasibility and effectiveness of this multi-function converter.

关键词： Batteries Arrays DC-DC power converters Voltage control Inverters Load flow

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Mobile Application for Visualizing the Measurements

Mobile Application for Visualizing the Measurements

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Simona Kirešová Milan Guzan Branislav Sobota Viacheslav Melnykov Rostyslav Yatsiuk Bohdan Peryvertailo Dept. of Theoretical and Industrial Electrical Engineering Technical University of Košice Košice Slovakia Dept. of Computers and Informatics Technical University of Košice Košice Slovakia Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine

This paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. The application can in principle be effectively used in any field of data visualization. The architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. The application is user tested and the paper documents their first experiences using the mobile application.

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Multi-agent based virtual learning environment. A socio-cultural approach

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WSEAS Transactions on Information Science and Applications 2007年第1期4卷 30-35页

作者： Moisil, Ioana Pah, Iulian Barbat, Boldur Popa, Emil Marin Faculty of Engineering Computer Science and Automatic Control Dept. Lucian Blaga University of Sibiu Blvd. Victoriei No. 10 Sibiu Romania Faculty of Sciences - Economic Informatics Lucian Blaga University of Sibiu Blvd. Victoriei No. 10 Sibiu Romania Faculty of Sociology and Social Work Babes-Bolyai University of Cluj Napoca Cluj Napoca Romania

In our paper we are proposing a complex model of the student (learner) in a virtual educational environment, supported by a multi-agent system. The whole system is centered on the student and it mainly takes into account Vygotsky's socio-cultural theory that states that social interaction plays a fundamental role in the development of cognition. The model is part of a larger project - DANTE - Socio-Cultural Models implemented through multi-agent architecture for e-learning - that has as main objective the development of a student centred framework for the virtual educational universe that facilitates collaborative learning. The virtual educational world is inhabited by agents: human agents and artificial agents that interact. Agents can be mediating agents, semiotic agents or social agents;they can be intelligent software entities or simple ones, like interface agents.

关键词： Multi agent systems

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Convex neural network synthesis for robustness in the 1-norm

arXiv

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arXiv 2024年

作者： Drummond, Ross Guiver, Chris Turner, Matthew C. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom School of Computing Engineering & the Built Environment Edinburgh Napier University EdinburghEH10 5DT United Kingdom School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off has to be navigated. To address this issue, this paper proposes a method to generate an approximation of a neural network which is certifiably more robust. Crucially, the method is fully convex and posed as a semi-definite programme. An application to robustifying model predictive control is used to demonstrate the results. The aim of this work is to introduce a method to navigate the neural network robustness/accuracy trade-off. © 2024, CC BY.

关键词： Model predictive control

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Modelling and Identification with Rational Orthogonal Basis Functions

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IFAC Proceedings Volumes 2000年第15期33卷 445-455页

作者： Paul Van den Hof Bo Wahlberg Peter Heuberger Brett Ninness Jozsef Bokor Tomás Oliveira e Silva Department of Applied Physics Delft University of Technology Lorentzweg 1 2628 CJ Delft The Netherlands S3 - Automatic Control Royal Institute of Technology S-100 44 Stockholm Sweden. Department of Electrical and Computer Engineering The University of Newcastle Callaghan NSW 2308 Australia. Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1502 Budapest Hungary Dept. Electrónica e Telecommunicações University of Aveiro 3810-183 Aveiro Portugal

Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.

关键词： System identification orthogonal basis functions series expansions model reduction parametrization

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