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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Valerii Tytiuk Oleksii Chornyi Victor Busher Tatyana Siverskaya Mila Baranovskaya Vitalii Kuznetsov Department “Artificial Intelligence Technologies” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Department “Power Engineering” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350346848

The paper proposes a mathematical model of a three-phase induction motor with an asymmetrical twelve-zone winding of stator with parallel connection of subwindings. The mathematical model was developed using the theory of generalized electromechanical converter and contains equations of electrical equilibrium of six stator windings and three rotor windings. The equations for calculating the electromagnetic moment and the equations of motion of the induction motor with an asymmetrical twelve-zone stator winding rotor were obtained. The developed mathematical model in the form of cell-matrix equations has been implemented in MATLAB/Simulink.

关键词： Induction motors Torque Computational modeling Windings Stator windings Rotors Mathematical models

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KPIs for Manufacturing Operations Management: driving the ISO22400 standard towards practical applicability

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IFAC-PapersOnLine 2018年第11期51卷 7-12页

作者： Varisco, Martina Johnsson, Charlotta Mejvik, Jacob Schiraldi, Massimiliano M. Zhu, Li Dept. of Enterprise Engineering “Tor Vergata” University of Rome Rome Italy Dept. of Automatic Control Lund University Lund Sweden Dept. of Control Science and Engineering Dalian University of Technology guest researcher at Department of Automatic Control Lund University Dalian China

A set of key performance indicators (KPIs) for manufacturing operation management is introduced in the ISO 22400 standard. However, KPIs are only defined at a high abstraction level and this hampers the standard's practical adoption. In this paper, a framework is introduced in order to solve this weakness. Starting from the analysis of the relevant measurements used in the KPIs’ formulas, a classification model is introduced defining three possible application scopes - work orders, work units and production orders - to analyze each basic element of the standard. As a result, the KPIs defined in the ISO 22400 standard are more precisely specified and, as a consequence, also suitable to be straightforwardly implemented in performance measurement systems. © 2018

关键词： ISO Standards Benchmarking Manufacture Supply chain management Enterprise system ISO 22400 Key performance indicators Operations management Performance evaluations

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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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Data-driven leak localization in water distribution networks via dictionary learning and graph-based interpolation

arXiv

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arXiv 2021年

作者： Irofti, Paul Romero-Ben, Luis Stoican, Florin Puig, Vicenç Department of Computer Science Faculty of Mathematics and Computer Science University of Bucharest Romania Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya Barcelona Spain Politehnica University of Bucharest Dept. of Automation Control and Systems Engineering Romania

In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and dictionary classification. The former estimates the complete WDN hydraulic state (i.e., hydraulic heads) from real measurements at certain nodes and the network graph. Then, these actual measurements, together with a subset of valuable estimated states, are used to feed and train the dictionary learning scheme. Thus, the meshing of these two methods is explored, showing that its performance is superior to either approach alone, even deriving different mechanisms to increase its resilience to classical problems (e.g., dimensionality, interpolation errors, etc.). The approach is validated using the L-TOWN benchmark proposed at BattLeDIM2020. Copyright © 2021, The Authors. All rights reserved.

关键词： Water distribution systems

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Multivariable Regression Model to Estimate Tidal Volume for Different Respiratory Patterns

Multivariable Regression Model to Estimate Tidal Volume for ...

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

作者： Daniel Romero Pérez Jordi Solà Soler Leon Balchin Arantxa Mas Serra Manuel Lujan Torné Melinda R. Popoviciu Koborzan Beatriz F. Giraldo 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 and CIBER de Bioingeniería Biomateriales y Nanomedicina (CIBER-BBN) Barcelona Spain ESAII Universitat Politècnica de Catalunya (UPC) Institute for Bioengineering of Catalonia (IBEC) Intensive Medicine Service Moisès Broggi Hospital Sant Joan d’Espi Barcelona Spain Pneumology Service Parc Tauli University Hospital Universitat Autònoma de Barcelona

Respiratory patterns present great variability, both in healthy subjects and in patients with different diseases and forms of nasal, oral, superficial or deep breathing. The analysis of this variability depends, among others, on the device used to record the signals that describe these patterns. In this study, we propose multivariable regression models to estimate tidal volume (V T ) considering different breathing patterns. Twenty-three healthy volunteers underwent continuous multisensor recordings considering different modes of breathing. Respiratory flow and volume signals were recorded with a pneumotachograph and thoracic and abdominal respiratory inductive plethysmographic bands. Several respiratory parameters were extracted from the volume signals, such as inspiratory and expiratory areas (Area ins , Area exp ), maximum volume relative to the cycle start and end (VT ins , VT exp ), inspiratory and expiratory time (T ins , T exp ), cycle duration (T tot ), and normalized parameters of clinical interest. The parameters with the greatest individual predictive power were combined using multivariable models to estimate V T . Their performance were quantified in terms of determination coefficient (R 2 ), relative error (E R ) and interquartile range (IQR). Using only three parameters, the results obtained for the thoracic band (VT exp , T tot , Area exp ) were better than those obtained from the abdominal band (VT exp , T ins , Area ins ) with R 2 = 0.94 (IQR: 0.07); E R = 6.99 (IQR: 6.12) vs R 2 = 0.91 (IQR: 0.09), E R = 8.70 (IQR: 4.62). Overall performance increased to R 2 = 0.97 (IQR: 0.02) and E R = 4.60 (IQR: 3.68) when parameters from the different bands were combined, further improving when was applied to segments with different inspiration–expiration patterns. In particular, the nose-nose E R = 1.39 (IQR: 0.73), nose-mouth E R = 2.11 (IQR: 1.23) and mouth-mouth E R = 2.29 (IQR: 1.44) patterns showed the best results compared to those obtained for b

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Respiratory Pattern Analysis for Different Breathing Types and Recording Sensors in Healthy Subjects

Respiratory Pattern Analysis for Different Breathing Types a...

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

作者： Jordi Solà-Soler Daniel Romero Pérez Leon Balchin Arantxa Mas Serra Manel Lujan Torné Melinda R. Popoviciu Koborzan Beatriz F. Giraldo Giraldo Automatic Control Dept. (ESAII) the Barcelona East School of Engineering (EEBE) Institute for Bioengineering of Catalonia (IBEC) – The Barcelona Institute of Science and Technology and CIBER de Bioingeniería Biomateriales y Nanomedicina (CIBER-BBN) Universitat Politècnica de Catalunya (UPC) Barcelona Spain Institute for Bioengineering of Catalonia (IBEC) ESAII Universitat Politècnica de Catalunya (UPC) Intensive Medicine Service Moisès Broggi Hospital Sant Joan d’Espí Barcelona Spain Pneumology Service Parc Taulí University Hospital Universitat Autònoma de Barcelona

Accurate monitoring of respiratory activity can lead to early identification and treatment of possible respiratory failure. However, spontaneous breathing can vary considerably. To quantify this variability, this study aimed at comparing the breathing pattern characteristics obtained from several recording sensors during different breathing types. Respiratory activity was recorded with a pneumotachograph and two inductive plethysmographic bands, thoracic and abdominal, in 23 healthy volunteers (age 21.5±1.2 years, 13 females). The subjects were asked to breathe at their natural rate, in successive stages: first freely, then through their nose, nose and mouth, mouth alone, and finally deep and shallow. Both band signals were compared to the pneumotach-derived (gold standard) volume signal. The time series of inspiratory and expiratory duration, total cycle duration and tidal volume were estimated from each of these signals, and also from the sum of the thoracic and abdominal bands. This composite signal showed the highest correlation with the volume signal for almost all subjects, and also had a significantly higher correlation with those obtained from the gold standard volume, compared to either band. In general, breathing parameters increased from basal to nose-mouth breathing, had a minimum in shallow breathing and a maximum in deep breathing. Women exhibited a significantly longer exhalation phase than men during deep breathing, in the combined bands and the gold standard volume. In conclusion, variations in respiratory cycle morphology in different breathing types can be well captured by the simple addition of abdominal and thoracic band *** Relevance— Breathing pattern variability can be identified by the combination of abdominal and thoracic bands.

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Optimal time-domain moment matching with partial placement of poles and zeros

Optimal time-domain moment matching with partial placement o...

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European control Conference (ECC)

作者： T. C. Ionescu O. V. Iftime I. Necoara Dept. of Automatic Control & Systems Eng. Politehnica Univ. of Bucharest Bucharest Romania Department of Economics Econometrics and Finance Faculty of Economics and Business University of Groningen Groningen The Netherlands Department of Automatic Control and Systems Engineering University Politehnica Bucharest Bucharest Romania

ISBN: (数字)9783907144022

ISBN: (纸本)9781728188133

In this paper we consider a minimal, linear, time-invariant (LTI) system of order n, large. Our goal is to compute an approximation of order ν 2 norm of the approximation error. For this, in the family of ν order parametrized models that match ν moments we impose ℓ+k linear constraints yielding a subfamily of models with ℓ poles and k zeros imposed. Then, in the subfamily of ν order models matching ν moments, with ℓ poles and k zeros imposed we propose an optimization problem that provides the model yielding the minimal H 2 -norm of the approximation error. We analyze the first-order optimality conditions of this optimization problem and compute explicitly the gradient of the objective function in terms of the controllability and the observability Gramians of the error system. We then propose a gradient method that finds the (optimal) stable model, with fixed ℓ poles and k zeros.

关键词： Mathematical model Computational modeling Poles and zeros Linear systems Biological system modeling

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Experiment on scalable multi-user twin-field quantum key distribution network

arXiv

引用

arXiv 2021年

作者： Zhong, Xiaoqing Wang, Wenyuan Mandil, Reem Lo, Hoi-Kwong Qian, Li Center for Quantum Information and Quantum Control Dept. of Physics University of Toronto TorontoONM5S 1A7 Canada Center for Quantum Information and Quantum Control Dept. of Electrical & Computer Engineering University of Toronto TorontoONM5S 3G4 Canada Department of Physics University of Hong Kong Pokfulam Road Hong Kong

Twin-field quantum key distribution (TFQKD) systems have shown great promise for implementing practical long-distance secure quantum communication due to its measurement-device-independent nature and its ability to offer fundamentally superior rate-loss scaling than point-to-point QKD systems. A surge of research and development effort in the last two years has produced many variants of protocols and experimental demonstrations. In terms of hardware topology, TFQKD systems interfering quantum signals from two remotely phase-locked laser sources are in essence giant Mach-Zehnder interferometers (MZIs) requiring active phase stabilization. Such configurations are inherently unsuitable for a TFQKD network, where more than one user-pair share the common quantum measurement station, because it is practically extremely difficult, if not impossible, to stabilize MZIs of largely disparate path lengths, a situation that is inevitable in a multi-user-pair TFQKD network. On the other hand, Sagnac interferometer based TFQKD systems exploiting the inherent phase stability of the Sagnac ring can implement asymmetric TFQKD, and are therefore eminently suitable for implementing a TFQKD network. In this work, we experimentally demonstrate a proof-of-principle multi-user-pair Sagnac TFQKD network where three user pairs sharing the same measurement station can perform pair-wise TFQKD through time multiplexing, with channel losses up to 58 dB, and channel loss asymmetry up to 15 dB. In some cases, the secure key rates still beat the rate-loss bounds for point-to-point repeaterless QKD systems, even in this network configuration. It is to our knowledge the first multi-user-pair TFQKD network demonstration, an important step in advancing quantum communication network technologies. © 2021, CC BY-NC-SA.

关键词： Quantum cryptography

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Dynamic Resilient Graph Games for State-Dependent Jamming Attacks Analysis on Multi-Agent Systems

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IFAC-PapersOnLine 2020年第2期53卷 3421-3426页

作者： Yurid Nugraha Ahmet Cetinkaya Tomohisa Hayakawa Hideaki Ishii Quanyan Zhu Dept. of Systems and Control Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo 101-8430 Japan Dept. of Computer Science Tokyo Insitute of Technology Yokohama 226-8502 Japan Dept. of Electrical and Computer Engineering New York University Brooklyn NY 11201 USA

A cybersecurity problem for a multi-agent consensus problem is investigated through a dynamic game formulation. Specifically, we consider a game repeatedly played between a jamming attacker and a defender. The attacker attempts to jam the links between a number of agents to delay their consensus. On the other hand, the defender tries to maintain the connection between agents by attempting to recover some of the jammed links with the goal of achieving faster consensus. In each game, the players decide which links to attack/recover and for how long to continue doing so based on a Lyapunov-like function representing the largest difference between the states of the agents. We analyze the subgame perfect equilibrium of the game and obtain an upper bound of the consensus time that is influenced by the strategies of the players. The results are illustrated with a numerical example.

关键词： Multi-agent systems Consensus problem Game theory Cybersecurity

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Improving of the control Quality by Root of the Growth Signal Error

Improving of the Control Quality by Root of the Growth Signa...

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Moscow Workshop on Electronic and Networking Technologies (MWENT)

作者： Vadim A. Zhmud Oleg V. Stukach Lubomir V. Dimitrov Hubert Roth Novosibirsk State Technical University Novosibirsk Russia Vice-Rector of Technical University of Sofia Sofia Bulgary Dept. of Automatic Control Engineering University of Siegen Siegen Germany

ISBN: (数字)9781728125725

ISBN: (纸本)9781728125732

The controller design for a high-order object prone to oscillations under sufficient of interest in automation and robotics is being solved. For the first time, the square root in the error growth detector used as a component for the cost function calculating unit is proposed. Justification for this proposal is given, and the effectiveness of such modification of the cost function is demonstrated on example of object. Software SimInTech was used for some calculations. It was shown that strong procedures of optimization are wide necessary for controller design.

关键词： Transient analysis Software Regulators Detectors Cost function Mathematical model

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