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14th International Computer engineering Conference, ICENCO 2018

作者： Hussein, Mohammed A. Ali, Ahmed S. Elmisery, F.A. Mostafa, R. Electronics Technology Dept. Beni-Suef University Faculty of Industrial Education Beni-Suef Egypt Mechanical Engineering Dept. Assuit University Faculty of Engineering Assuit Egypt Electrical Dept. Beni-Suef University Faculty of Engineering Beni-Suef Egypt Automatic Control Dept. Beni-Suef University Faculty of Industrial Education Beni-Suef Egypt

ISBN: (纸本)9781538651179

the interest in robots and their applications has increased recently, and one of the most important applications is using robots in medical applications. This paper shows a prototype robotic system for robot-aided radiologists in their work, especially radiologists whom using ultrasound devices. The system includes master device, slave robot and a computer control system that lets the operator remotely position the ultrasound probe on the patient, Master device is available with the operator;Slave robot is located in the patient's location with an ultrasound *** proposed system composed of a new design of master device and slave robot;both designs were designed based on the shape, size and movements that radiologists used to do during an ultrasound examination, the master device is used to control the movement of ultrasound probe, the ultrasound probe is fixed inside the slave robot and its contacted to the patient body through a hole in the base at end of design. Movement accuracy between master device and slave robot was achieved. Ultrasound examination was tested by homemade gelatin model. © 2018 IEEE.

关键词： Computer control systems

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Supporting Product Oriented Manufacturing: a Model Driven and Agent based Approach

Supporting Product Oriented Manufacturing: a Model Driven an...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mikel López Jon Martín Unai Gangoiti Aintzane Armentia Elisabet Estévez Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao (UPV/EHU) Bilbao Spain Dept. Electronic and Automatic Engineering EPS de Jaén University of Jaén Jaén Spain

Product oriented manufacturing is aligned with one of the Industry 4.0 trends consisting of integrating all production systems. This implies shifting from a traditional view of manufacturing processes focused on production line in order to reduce costs, to a more flexible and customized product manufacturing. On the other hand, Multi Agent systems (MAS) have been proved to be a suitable way to fulfill these requirements. However, a key aspect of the use of novel technologies is to offer methodologies and tools for supporting the implementation of such systems. In this sense, this paper uses Model Driven engineering and MAS technology to propose an architecture that is able to launch and execute a manufacturing execution plan. It focuses on the information models managed by architecture agents that can be customized to particular manufacturing plants as well as on the definition of agent templates.

关键词： Manufacturing processes Tools Ontologies systems engineering and theory Industries

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Using MATLAB GUIs to Improve Student Engagement and Understanding

Using MATLAB GUIs to Improve Student Engagement and Understa...

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UKACC International Conference on control (control)

作者： J A Rossiter Dept. Automatic Control and Systems Engineering University of Sheffield UK

Laboratories are a core part of any engineering degree, but access to laboratories is typically limited due to a combination of timetable, space and equipment restrictions [1]. In more recent years that has been a significant growth in so-called virtual laboratories (VL), that is laboratory like activities that can be accessed via software or even a web interface, e.g. [2], [3], [5]. The advantage of VL is that the accessibility can potentially be improved to 24/7 and often these may be available on a student's own computing device thus also giving no space restrictions. Improvements in accessibility mean that staff can integrate VL far more easily into the curriculum and student independent study schedule with the consequence that, in principle, students can learn more effectively.

关键词： Matlab Uncertainty Education Level control Remote laboratories Tools

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From self-tuning regulators to reinforcement learning and back again

From self-tuning regulators to reinforcement learning and ba...

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IEEE Annual Conference on Decision and control

作者： Nikolai Matni Alexandre Proutiere Anders Rantzer Stephen Tu Dept. of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA Division of Decision and Control Systems KTH Royal Institute of Technology Stockholm Sweden Department of Automatic Control Lund University Lund Sweden Google Brain New York City NY

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Machine and reinforcement learning (RL) are increasingly being applied to plan and control the behavior of autonomous systems interacting with the physical world. Examples include self-driving vehicles, distributed sensor networks, and agile robots. However, when machine learning is to be applied in these new settings, the algorithms had better come with the same type of reliability, robustness, and safety bounds that are hallmarks of control theory, or failures could be catastrophic. Thus, as learning algorithms are increasingly and more aggressively deployed in safety critical settings, it is imperative that control theorists join the conversation. The goal of this tutorial paper is to provide a starting point for control theorists wishing to work on learning related problems, by covering recent advances bridging learning and control theory, and by placing these results within an appropriate historical context of system identification and adaptive control.

关键词： Adaptive control Tools Tuning control theory Adaptation models Robustness Learning (artificial intelligence)

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Impact of Quantum Capacitance on Transmission Characteristics of Carbon Nanotubes Filled Shielded Through-Silicon Vias

Impact of Quantum Capacitance on Transmission Characteristic...

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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Su, Jinrong Yao, Chunhui Chen, Xue Zhang, Wenmei Dept. Electric and Information Engineering Shanxi University Taiyuan Shanxi030006 China Command and Control Division North Automatic Control Technology Institute Taiyuan030006 China College of Physics and Electronics Shanxi University Taiyuan Shanxi030006 China

ISBN: (纸本)9781538612415

Shielded through-silicon vias (S-TSV) filled with multi-walled carbon nanotubes (MWCNT) in the via and the shielded layer, and benzocyclobutene or silicon in the insulation layer is presented in this paper. Then, the equivalent transmission line models of the two S-TSVs are established. Based on the model, the forward transmission coefficient and attenuation constant are calculated and the impact of quantum capacitance Cq of MWCNT on the transmission performance of S-TSVs is analyzed. The results indicate that the performance of S-TSVs with Si insulation layer in 0-100 GHz can be significantly improved by Cq. Also, the performance of S-TSV filled with BCB above 40 GHz can be improved. In addition, the temperature effect of silicon can be balanced by Cq. As a result, the heat stability of S-TSV with silicon insulation layer is improved. © 2018 IEEE.

关键词： Silicon

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Variational bayesian inference of hidden stochastic processes with unknown parameters

arXiv

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arXiv 2019年

作者： Atitey, Komlan Loskot, Pavel Mihaylova, Lyudmila Swansea University College of Engineering Fabian Way Skewen SwanseaSA1 8EN United Kingdom University of Sheffield Dept. of Automatic Control and Systems Engineering Mappin Street SheffieldS1 3JD United Kingdom

Estimating hidden processes from non-linear noisy observations is particularly difficult when the parameters of these processes are not known. This paper adopts a machine learning approach to devise variational Bayesian inference for such scenarios. In particular, a random process generated by the autoregressive moving average (ARMA) linear model is inferred from non-linearity noisy observations. The posterior distributions of hidden states are approximated by a set of weighted particles generated by the sequential Monte Carlo (SMC) algorithm involving sampling with importance samplingresampling (SISR). Numerical efficiency and estimation accuracy of the proposed inference method are evaluated by computer simulations. Furthermore, the proposed inference method is demonstrated on a practical problem of estimating the missing values in the gene expression time series assuming vector autoregressive (VAR) data model. Copyright © 2019, The Authors. All rights reserved.

关键词： Random processes

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Closed Loop Fault Detectability Based on a Gap-Metric 2

Closed Loop Fault Detectability Based on a Gap-Metric

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2nd IEEE Conference on control Technology and Applications, CCTA 2018

作者： Sekunda, Andre Ding, Steven Kjolstad Poulsen, Niels Niemann, Henrik Department of Electrical Engineering Automation and Control Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark Dept. of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany Dept. of Applied Mathematics and Computer Science Tech. University of Denmark Kgs. LyngbyDk-2800 Denmark

ISBN: (纸本)9781538676981

systems are often controlled using feedback loops. Fault diagnosis schemes are usually designed assuming that there is no feedback loop. Therefore fault diagnosis methods need to accommodate for the feedback loop. One such method is active fault diagnosis based on a fault signature system. This method is derived using the YJBK parametrisation, named after Youla, Jabr, Bongiorno and Kucera. It uses the derived fault signature system to determine the detectability of possible faults in the system. Deriving the fault signature system requires knowledge about the controller. This paper demonstrates the possibility of estimating the detectability of faults in the fault signature system using a gap-metric. The gap-metric has the advantage of only requiring knowledge about the plant. By using the gap-metric it is possible to estimate the detectability of faults without using information about the controller. © 2018 IEEE.

关键词： Fault detection

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Learning requirements for stealth attacks

arXiv

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arXiv 2019年

作者： Sun, Ke Esnaola, Iñaki Tulino, Antonia M. Poor, H. Vincent Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Nokia Bell Labs HolmdelNJ07733 United States Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States University degli Studi di Napoli Federico II Naples80138 Italy

The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance matrix that results in a random matrix with a Wishart distribution. The ergodic attack performance is defined as the average attack performance obtained by taking the expectation with respect to the distribution of the training data set. The impact of the training data size on the ergodic attack performance is characterized by proposing an upper bound for the performance. Simulations on the IEEE 30-Bus test system show that the proposed bound is tight in practical settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Information theory

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A Tool Suite for automatic Generation of Modular Machine Automation Projects

A Tool Suite for Automatic Generation of Modular Machine Aut...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Aintzane Armentia Elisabet Estévez Darío Orive Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao (UPV/EHU) Bilbao Spain EPS de Jaén University of Jaén Jaén Spain

Global competition has resulted in changes on product demand which have to be managed by current manufacturing systems. In this context, modularity seems to be a suitable solution to provide manufacturing systems with the flexibility required to adapt to demand fluctuations when they occur, maintaining thus competitiveness and productivity. In concrete, machine modularity allows modifying a machine structure but it should be accomplished easily and rapidly. The current work proposes a model-driven methodology that allows modular machine definition and the automatic generation of the corresponding automation project, including the machine hardware configuration and its control software. It is based on the use of eXtensible Markup Language (XML) format and technologies for both model definition and code generation. The methodology has been implemented as a tool suite whose proof of concept has been developed for the particular case of the Siemens Totally Integrated Automation Portal (TIA Portal) PLC programming tool.

关键词： Automation Tools XML Portals Hardware Software Programming

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The role of non-normality for control energy reduction in network controllability problems

arXiv

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arXiv 2018年

作者： Lindmark, Gustav Altafini, Claudio Division of Automatic Control Dept. of Electrical Engineering Linköping University LinköpingSE-58183 Sweden

This paper investigates the problem of controlling a complex network with reduced control energy. Two centrality measures are defined, one related to the energy that a control, placed on a node, can exert on the entire network, the other related to the energy that all other nodes exert on a node. We show that by combining these two centrality measures, conflicting control energy requirements, like minimizing the average energy needed to steer the state in any direction and the energy needed for the worst direction, can be simultaneously taken into account. From an algebraic point of view, the node ranking that we obtain from the combination of our centrality measures is related to the non-normality of the adjacency matrix of the graph. Copyright © 2018, The Authors. All rights reserved.

关键词： Complex networks

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