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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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Feed-forward control for a Drinking Water Treatment Plant chlorination process

Feed-forward control for a Drinking Water Treatment Plant ch...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： J. Gamiz H. Mart´nez A. Grau Y. Bolea R. Vilanova Automatic Control Dept. Universitat Politecnica de Catalunya UPC Barcelona Dept. de Sistemas de Control Industrial de Aguas de Barcelona Aigües de Barcelona Barcelona Department of Electronic Engineering Universitat Politecnica de Catalunya UPC Barcelona Department of Telecommunications and Systems Engineering Universitat Autonoma de Barcelona Barcelona

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, conversely, too small a dosage, may breach existing legal regulations on mandatory limits. In DWTP where there is no significant variability in the quality of the water to be treated, a type of control that is proportional to the flow rate in the effluent can have fully satisfactory results. Therefore, Proportional-Integral (PI) control is a rather frequently used solution. However, when there are inherently long delays in the process, variability in the quality of the water to be treated and considerable variations alternative type is needed. This article presents the strategy and results of a control method that proposes a Fuzzy based feed-forward system to complement an existing PI control. The control system results are shown as applied to the DWTP of Barcelona city, producing satisfactory experimental results.

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Temporal Pixel Intensity Processing from Fluoroscopic Angiography

Temporal Pixel Intensity Processing from Fluoroscopic Angiog...

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E-Health and Bioengineering Conference (EHB)

作者： Irina-Andra Tache Dept. of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

The fluoroscopic angiography comprises a temporal sequence of images acquired with a certain frequency. Hence the time density curves can be generated from the temporal and pixels' intensities information. In the paper is presented a new method to process these curves in order to further extract hemodynamic parameters from cardiac X-ray angiography.

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Information Theoretic Data Injection Attacks with Sparsity Constraints

arXiv

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arXiv 2020年

作者： Ye, Xiuzhen Esnaola, Iñaki Perlaza, Samir M. Harrison, Robert F. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States INRIA Centre de Recherche de Sophia Antipolis - Méditerranée France

Information theoretic sparse attacks that minimize simultaneously the information obtained by the operator and the probability of detection are studied in a Bayesian state estimation setting. The attack construction is formulated as an optimization problem that aims to minimize the mutual information between the state variables and the observations while guaranteeing the stealth of the attack. Stealth is described in terms of the Kullback-Leibler (KL) divergence between the distributions of the observations under attack and without attack. To overcome the difficulty posed by the combinatorial nature of a sparse attack construction, the attack case in which only one sensor is compromised is analytically solved first. The insight generated in this case is then used to propose a greedy algorithm that constructs random sparse attacks. The performance of the proposed attack is evaluated in the IEEE 30 Bus Test Case. Copyright © 2020, The Authors. All rights reserved.

关键词： Machine learning

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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Design of neural nonlinear PFC controller to control speed of autonomous car

arXiv

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arXiv 2019年

作者： Asaad, Isam Chiha, Bilal Dept. of Computers and Automatic Control Faculty of Mechanical and Electronic Engineering Tishreen University Syria

In this research, we are going to design a neural nonlinear predictive functional controller (PFC) to achieve a reduced fuel consumption for a chosen autonomous car walks according to a supplied speed trajectory on known roads. We used a fitting neural network as a simple tool for modelling the car's engine and control laws needed to calculate the suitable control commands passed to the brakes and gas pedals' actuators. Independent model method and constraints handling are used to provide controller robustness. We used MATLAB Simulink and IPG CarMaker to design and test our PFC controller. The performance of designed PFC controller is compared to the performance of a PI controller which exists within IPG CarMaker simulator. Copyright © 2019, The Authors. All rights reserved.

关键词： controllers

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Designing robust controllers by the mini-max search method: Keynote paper

Designing robust controllers by the mini-max search method: ...

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2019 International Siberian Conference on control and Communications, SIBCON 2019

作者： Zhmud, Vadim Stukach, Oleg Ivoilov, Andrey Roth, Hubert Dimitrov, Lubomir Dept. of Automation Novosibirsk State Technical University Novosibirsk Russia National Research University Higher School of Economics Novosibirsk State Technical University Moscow Russia Dept. of Automatic Control Engineering University of Siegen Siegen Germany Vice-Rector of Technical University of Sofia Sofia Bulgaria

ISBN: (纸本)9781538651414

The problem of regulators (controllers) design is extremely relevant in connection with the penetration into all technological areas of the methods of precise control of objects with feedback. Such devices are being more and more used, which increases the variety of controlled objects. This list includes all new objects of robotics and technological setups, which have much more complex mathematical models. One of the most urgent problems in this area is control of non-stationary objects. Parameters of mathematical model of these objects are given with some uncertainty, but not in fixed values, i.e. by only intervals of their possible changes. If the intervals are too wide, adaptive systems have to be designed, but if they are not too wide, then one can try to find a universal regulator setting that will be sufficiently effective for all ratios of the model parameters within the acceptable intervals of their changes. The paper proposes a new method of the numerical optimization of regulator for finding such a setting for the worst object model that is for the worst combination of all variable parameters. Finding the worst model is also carried out by a numerical optimization method, in which a combination of model parameters is found where the best regulator gives the worst result. The problem is proposed to solve in several optimization cycles with alternation of objective functions. The technique has been well illustrated by a numerical example. © 2019 IEEE.

关键词： controllers

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Cardiorespiratory and Vascular Variability Analysis to Classify Patients with Ischemic and Dilated Cardiomyopathy*

Cardiorespiratory and Vascular Variability Analysis to Class...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Javier Rodriguez Steffen Schulz Andreas Voss Beatriz F. Giraldo Institute for Bioengineering of Catalonia (IBEC) Automatic Control Dept. (ESAII) Universitat Politècnica de Catalunya (UPC) Spain Ernst-Abbe-Hochschule Jena Applied Sciences Jena University Institute of Innovative Health Technologies Jena Germany Automatic Control Dept. (ESAII) the Barcelona East School of Engineering (EEBE) Universitat Politècnica de Catalunya (UPC) Institute for Bioengineering of Catalonia (IBEC) – The Barcelona Institute of Science and Technology Barcelona Spain

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Heart diseases are the leading cause of death in developed countries. Ascertaining the etiology of cardiomyopathies is still a challenge. The objective of this study was to classify cardiomyopathy patients through cardio, respiratory and vascular variability analysis, considering the vascular activity as the input and output of the baroreflex response. Forty-one cardiomyopathy patients (CMP) classified as ischemic (ICM, 24 patients) and dilated (DCM, 17 patients) were analyzed. Thirty-nine elderly control subjects (CON) were used as reference. From the electrocardiographic, respiratory flow, and blood pressure signals, following temporal series were extracted: beat-to-beat intervals (BBI), total respiratory cycle time series (TT), and end- systolic (SBP) and diastolic (DBP) blood pressure amplitudes, respectively. Three-dimensional representation of the cardiorespiratory and vascular activities was characterized geometrically, by fitting a polygon that contains 95% of data, and by statistical descriptive indices. The best classifiers were used to build support vector machine models. The optimal model to classify ICM versus DCM patients achieved 92.7% accuracy, 94.1% sensitivity, and 91.7% specificity. When comparing CMP patients and CON subjects, the best model achieved 86.2% accuracy, 82.9% sensitivity, and 89.7% specificity. These results suggest a limited ability of cardiac and respiratory systems response to regulate the vascular variability in these patients.

关键词： Time series analysis Support vector machines Blood pressure Sensitivity Indexes Electrocardiography Kernel

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Modelling and simulation of a magnetically coupled multiport dc-dc converter

Modelling and simulation of a magnetically coupled multiport...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Robert Griñó Arnau Dòria-Cerezo Dept. of Automatic Control and Inst. of Industrial and Control Engineering Universitat Politècnica de Catalunya Dept. of Electrical Engineering and Inst. of Industrial and Control Engineering Universitat Politècnica de Catalunya

This paper present two different approaches for modelling a magnetically coupled multiport dc-dc converter. First, from the magnetic coupling equations, the instantaneous dynamic model is obtained. Secondly, a behavioural dynamic model, based on averaging the power flowing among the ports, is derived. Some numerical simulations compare the temporal evolutions with the two obtained models.

关键词： Couplings DC-DC power converters Windings Numerical models Magnetic circuits Mathematical model Magnetic separation

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Universal Privacy Guarantees for Smart Meters

Universal Privacy Guarantees for Smart Meters

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IEEE International Symposium on Information Theory

作者： Miguel Arrieta Iñaki Esnaola Michelle Effros Dept. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Dept. of Electrical Engineering California Institute of Technology Pasadena CA USA

Smart meters enable improvements in electricity distribution system efficiency at some cost in customer privacy. Users with home batteries can mitigate this privacy loss by applying charging policies that mask their underlying energy use. A battery charging policy is proposed and shown to provide universal privacy guarantees subject to a constraint on energy cost. The guarantee bounds our strategy's maximal information leakage from the user to the utility provider under general stochastic models of user energy consumption. The policy construction adapts coding strategies for non-probabilistic permuting channels to this privacy problem.

关键词： Batteries Privacy Energy consumption Measurement Mutual information Silicon Random processes

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