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control Technology and Applications (CCTA),

作者： André Sekunda Steven Ding Niels Kjølstad Poulsen Henrik Niemann Department of Electrical Engineering Automation and Control Tech. University of Denmark Denmark Dept. of Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany Dept. of Applied Mathematics and Computer Science Tech. University of Denmark Kgs. Lyngby Denmark

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.

关键词： Fault diagnosis Measurement Kernel Closed loop systems Fault detection Sensors

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An Input-Output Framework for Submanifold Stabilization

An Input-Output Framework for Submanifold Stabilization

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作者： Montenbruck, Jan Maximilian Arcak, Murat Allgower, Frank Department of Electrical Engineering and Computer Sciences University of California at Berkeley BerkeleyCA94720 United States Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart70174 Germany

We study submanifold stabilization problems from an input-output perspective, where plant and controller are relations on their sets of input-output signals. In contrast to the classical input-output approaches, we consider signals whose integral $p$-fold distance to a submanifold is finite. For feedback interconnections of relations on such signals, we develop a framework to show that the distance of the output of the plant to the desired submanifold remains bounded. Within this framework, we present a small-gain theorem, a feedback theorem for conic relations, and a feedback theorem for passive relations. We connect our findings to multiplier theory and present applications to synchronization and pattern generation. © 1963-2012 IEEE.

关键词： Feedback

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Programmable Medicine: Autonomous, Ingestible, Deployable Hydrogel Patch and Plug for Stomach Ulcer Therapy

Programmable Medicine: Autonomous, Ingestible, Deployable Hy...

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IEEE International Conference on Robotics and Automation

作者： Alexis du Plessis d'Argentre Samuel Perry Yoshitaka Iwata Haruna Iwasaki Eiji Iwase Assunta Fabozzo Iain Will Daniela Rus Dana D. Damian Shuhei Miyashita Ecole Supérieure d'Electronique de l'Ouest France Department of Electronic Engineering University of York York UK Department of Applied Mechanics Waseda University Japan Hospital of Padua Italy Computer Science and Artificial Intelligence Laboratory MIT USA Department of Automatic Control and System Engineering University of Sheffield UK

Gastric ulcer is a chronic and complex (and often complete) erosion of the stomach wall that happens as a complication of a previous chronic, inflammatory process. It represents a catastrophic situation in which the patient is critical and its conditions need to be treated fast. This study presents a remotely navigatable and deployable ingestible patch and plug for gastric ulcer treatment. The patch/plug structure is made of agarose hydrogel that can change rigidity through hydration and dehydration. When dehydrated, it is rigid and can maintain a folded configuration so it can be ingested as a "pill". This can be guided to the targeted location by a magnetic field, and be deployed instantly by hydration, namely by supplying water from the mouth. Due to the deployable origami design, it exhibits an expansion of 10 times its initial surface area, making the device suitable for the use of dressing a surface as a patch, and filling a hole as a plug.

关键词： Plugs Stomach Navigation Shape Fabrication Robot sensing systems

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Distributed Optimization for Second-Order Multi-Agent Systems with Dynamic Event-Triggered Communication

arXiv

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arXiv 2018年

作者： Yi, Xinlei Yao, Lisha Yang, Tao George, Jemin Johansson, Karl H. Department of Automatic Control Kth Royal Institute of Technology School of Electrical Engineering and Computer Science Stockholm100 44 Sweden Department of Electrical Engineering University of North Texas DentonTX76203 United States U.S. Army Research Laboratory AdelphiMD20783 United States

In this paper, we propose a fully distributed algorithm for second-order continuous-time multi-agent systems to solve the distributed optimization problem. The global objective function is a sum of private cost functions associated with the individual agents and the interaction between agents is described by a weighted undirected graph. We show the exponential convergence of the proposed algorithm if the underlying graph is connected, each private cost function is locally gradient-Lipschitz-continuous, and the global objective function is restricted strongly convex with respect to the global minimizer. Moreover, to reduce the overall need of communication, we then propose a dynamic event-triggered communication mechanism that is free of Zeno behavior. It is shown that the exponential convergence is achieved if the private cost functions are also globally gradient-Lipschitz-continuous. Numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2018, The Authors. All rights reserved.

关键词： Multi agent systems

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Classification of an imbalanced data set using decision tree algorithms

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2017年第4期79卷 69-84页

作者： Truicǎ, Ciprian-Octavian Leordeanu, Cǎtǎlin Adrian Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

Machine learning algorithms have recently become very popular for different tasks involving data analysis, classification or prediction. They can provide valuable knowledge for very large sets of data and can reach very good accuracy. However, most algorithms are sensitive to the nature of the data sets, as well as different calibrations which can lead to large differences in performance, accuracy or false positives. In this paper, a classification solution for imbalanced data sets containing information about defects of various trees is presented. The experimental results present a comparison that evaluates the classification performance of the Decision Tree, Random Forest, and Extremely Randomized Trees classifiers. The measures used in the comparison take into account weighted accuracy, precision, and recall for binary and multi-class classification.

关键词： Classification (of information)

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Implementation of Non-Integer Order Filtering for the Purpose of Disparities Detection in Beta Frequencies - A Pilot Study

Implementation of Non-Integer Order Filtering for the Purpos...

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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Magda Zolubak Waldemar Bauer Bartosz Nazimek Tomasz Sobolewski Radek Martinek Marcin Sowa Mariusz Pelc Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland Department of Neurosurgery University Hospital in Opole Opole Poland Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic

In this work the authors of the hereof paper describe pilot study on implementation of fractional order filtering applied for the purpose of disparities detection in Beta Frequencies. The Beta waves frequency range can be split into three sections, where the information provided by particular section enables more accurate medical diagnosis. Spectral analysis used in this study allowed appropriate isolation of the Beta waves. Implementation of non-integer order filtering in such study is innovative and provided some promising results.

关键词： Electroencephalography Spectrogram Electronic mail Frequency measurement Transfer functions Electrical engineering Stress

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Modelling 3D magnetic networks in a realistic solar atmosphere

arXiv

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arXiv 2019年

作者： Gent, Frederick A. Snow, Ben Fedun, Viktor Erdélyi, Robertus Academy of Finland ReSoLVE Centre of Excellence Department of Computer Science Aalto University FI-02150 Finland College of Engineering Mathematics and Physical Sciences University of Exeter EX4 4QF United Kingdom School of Mathematics Statistics and Physics Newcastle University NE1 7RU United Kingdom School of Mathematics and Statistics University of Sheffield S3 7RH United Kingdom Plasma Dynamics Group Department of Automatic Control and Systems Engineering University of Sheffield S1 3JD United Kingdom Department of Astronomy Eötvös Loránd University Pázmány Péter sétány 1/A Budapest H-1117 Hungary

The magnetic network extending from the photosphere (solar radius ' R) to lower corona (R + 10 Mm) plays an important role in the heating mechanisms of the solar atmosphere. Here we further develop the models with realistic open magnetic flux tubes of the authors in order to model more complicated configurations. Closed magnetic loops, and combinations of closed and open magnetic flux tubes are modelled. These are embedded within a stratified atmosphere, derived from observationally motivated semi-empirical and data-driven models subject to solar gravity and capable of spanning from the photosphere up into the chromosphere and lower corona. Constructing a magnetic field comprising self-similar magnetic flux tubes, an analytic solution for the kinetic pressure and plasma density is derived. Combining flux tubes of opposite polarity it is possible to create a steady background magnetic field configuration modelling a solar atmosphere exhibiting realistic stratification. The result can be applied to SOHO/MDI and SDO/HMI and other magnetograms from the solar surface, upon which photospheric motions can be simulated to explore the mechanism of energy transport. We demonstrate this powerful and versatile method with an application to Helioseismic and Magnetic Imager data. Copyright © 2019, The Authors. All rights reserved.

关键词： 3D modeling

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Plenary Lectures

Plenary Lectures

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Mediterranean Conference on control and Automation (MED)

作者： Bart De Moor Yasamin Mostofi Maryam Kamgarpour Zdenko Kovačić Maja Cepanec Airlie Chapmar Mehran Mesbahi Department of Electrical Engineering (ESAT-STADIUS) KU Leuven Leuven Belgium Department of Electrical & Computer Engineering University of of California Santa Barbara CA USA Automatic Control Laboratory Swiss Federal Institute of Technology Zurich Zurich Switzerland University of Zagreb Faculty of Electrical Engineering and Computing University of Zagreb Faculty of Education and Rehabilitation Sciences University of Melbourne Australia University of Washington USA

The following topics are dealt with: control system synthesis; stability; nonlinear control systems; closed loop systems; robust control; feedback; Lyapunov methods; mobile robots; uncertain systems; and position cont... 详细信息

ISBN: (纸本)9781538674994;9781538678909

关键词： Robot sensing systems Electrical engineering Education Autism Robot kinematics Decision making

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Formative assessment application with social media integration using computer adaptive testing techniques 12

Formative assessment application with social media integrati...

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12th International Conference on e-Learning, ICEL 2017

作者： Dascalu, Maria-Luliana Nitu, Melania Alecu, Gabriel Bodea, Constanta-Nicoleta Moldoveanu, Alin Dragos Bogdan Department of Engineering in Foreign Languages Faculty of Engineering in Foreign Languages University Politehnica of Bucharest Romania Department of Economic Informatics and Cybernetics Faculty of Economic Cybernetics Statistics and Informatics Bucharest University of Economic Studies Romania Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

ISBN: (纸本)9781911218357

Individual instruction is recognized as an effective learning method which is highly supported by the so-called personalized, intelligent or adaptive systems. The main purpose of this learning method is to offer customized content, experience or tools, based on the learning profile of students (learning style, gender, prior knowledge, learning goals and so on), so as to improve the learning outcomes. There are two wide-known adaption techniques implemented by learning systems to provide individual instruction: adaptability and adaptivity. The first one allows the students to take control, e.g. The learning system provides choices to let the students adapt the steps, sequences, difficulty level, preferences, while the second empowers the system, which is able to build a student model and to provide learning support based on that model. The current paper presents PoliCAT-A learning system based on computer Adaptive Testing (CAT) principle, which implements the second adaption technique (adaptivity) to provide individual instruction. Furthermore, the proposed web-based application supports the new learning paradigms, e.g. student-centered learning, communities of practice, and constructivism in general and relies on the current technologies-Web 2.0 and social Web, as students are able to share one's results on social media. The system is described as a useful tool for self-regulated learning, answering thus at the question whether assessment may have a strong formative role in learning or not. Besides highlighting the key features of the application, the paper provides experimental results from a web programming course for forth year students enrolled in an engineering degree program, who used the developed system as a learning tool during one semester. Students reported that they succeeded in strengthening their study skills and monitoring their academic progress through the learning analytics features. The available personalized feedback PoliCAT, as well as the possi

关键词： Students

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Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization

arXiv

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arXiv 2017年

作者： Patrascu, Andrei Necoara, Ion Computer Science Department University of Bucharest Automatic Control and Systems Engineering Department University Politehnica of Bucharest

A very popular approach for solving stochastic optimization problems is the stochastic gradient descent method (SGD). Although the SGD iteration is computationally cheap and the practical performance of this method may be satisfactory under certain circumstances, there is recent evidence of its convergence difficulties and instability for unappropriate parameters choice. To avoid these drawbacks naturally introduced by the SGD scheme, the stochastic proximal point algorithms have been recently considered in the literature. We introduce a new variant of the stochastic proximal point method (SPP) for solving stochastic convex optimization problems subject to (in)finite intersection of constraints satisfying a linear regularity type condition. For the newly introduced SPP scheme we prove new nonasymptotic convergence results. In particular, for convex and Lipschitz continuous objective functions, we prove nonasymptotic estimates for the rate of convergence in terms of the expected value function gap of order O(1/k1/2) , where k is the iteration counter. We also derive better nonasymptotic bounds for the rate of convergence in terms of expected quadratic distance from the iterates to the optimal solution for smooth strongly convex objective functions, which in the best case is of order O (1/k). Since these convergence rates can be attained by our SPP algorithm only under some natural restrictions on the stepsize, we also introduce a restarting variant of SPP method that overcomes these difficulties and derive the corresponding nonasymptotic convergence rates. Numerical evidence supports the effectiveness of our methods in real-world problems. Copyright © 2017, The Authors. All rights reserved.

关键词： Stochastic systems

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