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A Model-Based Testing System for Safety of Railway Interlocking 25

A Model-Based Testing System for Safety of Railway Interlock...

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IEEE 25th international conference on Intelligent Transportation systems (ITSC)

作者： Su, Haoxiang Chai, Ming Liu, Hongjie Chai, Jinchuan Yue, Chaopeng Beijing Jiaotong Univ Natl Engn Res Ctr Rail Transportat Operat & Contr Beijing 100044 Peoples R China China Acad Railway Sci Corp Ltd Natl Railway Track Test Ctr Beijing Peoples R China Beijing Natl Railway Res & Design Inst Signal & C Beijing Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

Testing is an important safety assurance technique for railway interlocking systems. Model-based testing (MBT) allows for designing and maintaining tests with high-level models and generating test suites from these models automatically. Although MBT has the potential to improve testing efficiency and quality, it is not clear whether this technique is applicable for testing complex variant-rich interlocking software. In this paper, we report our experience in introducing MBT in interlocking testing. We develop feature models of the interlocking route control process to improve the reusability of the models. The experimental results show that our approach is able to improve the quality and efficiency of real-world interlocking acceptance testing.

关键词： Computational modeling Natural languages Process control Organizations Manuals Rail transportation Software

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international conference on Data Science, Computation and Security, IDSCS 2023

International Conference on Data Science, Computation and Se...

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international conference on Data Science, Computation and Security, IDSCS 2023

ISBN: (纸本)9789819709748

The proceedings contain 49 papers. The special focus in this conference is on Data Science, Computation and Security. The topics include: OGIA: Ontology Integration and Generation Using Archaeology as a Domain;Data: A Key to HR Analytics for Talent Management;an Early Lumpy Skin Disease Detection System Using Machine Learning;extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing;generating Equations for Mathematical Word problems Using Multi-head Attention Transformer;autonomous System Enabling Node and Edge Detection, Path Optimization, and Effective Color-Coded Box Management in Diverse Robotic Environments;GLANCE—Guided Language Through Autoregression Establishing Natural and Classifier-Free Editing;method for Design of Magnetic Field Active Silencing System Based on Robust Meta Model;Ontology Integration for Cultural Landscape Management Using ML and Assistive Artificial Intelligence;Early Phase Detection of Bacterial Blight in Pomegranate Using GAN Versus Ensemble Learning;classification of Diseased Leaves in Plants Using Convolutional Neural Networks;brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation;spectrum and Energy of the Mobius Function Graph of Finite Cyclic Groups;analysis of Multinomial Classification for Legal Document Categorization;pioneering Image Analysis with Hybrid Convolutional Neural Networks and Generative Adversarial Networks for Enhanced Visual Perception;enhancing Medical Decision Support systems with the Two-Parameter Logistic Regression Model;BI-RADS Score Prediction Using AI for Breast Cancer Screening;modeling and Analysis of the Lead-Lag Network of Economic Indicators;predictive Maintenance Model for Industrial Equipment;taming the complexity of Distributed Lag Models: A Practical Approach to Multicollinearity, Outliers, and Auto-Correlation in Finance;algorithm of Robust control for Multi-stand Rolling Mill Strip Based on Stochastic Multi-swarm Multi

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Development of a control Method with Forecasting

Development of a Control Method with Forecasting

引用

2022 international conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

作者： Belyaev, Yu.I. Predmestin, V.R. Gavrilenko, A.I. Novomoskovsk Institute of the Russian Univ. of Chem. Technol. Novomoskovsk Affiliate Br. of D.I. Mendeleyev Univ. of Chem. Techology of Russia Novomoskovsk Russia

ISBN: (纸本)9781665483698

This article presents the main problems of modern control systems of technological objects and briefly describes the process of development and implementation of one of the possible solutions to this problem - a controller with forecasting. A detailed description of the experimental setup used to test control methods is presented. A non-standard method of control with forecasting is developed. The mathematical modeling of the regulator with forecasting and compare of its work with the PID regulator has been carried out. Based on the method, a controller that does not require any presetting has been programmed. The work of the regulator with forecasting and the standard PID regulator was compared. On the results of this work, justifications and conclusions about the expediency of introducing and using the forecasting regulator in the existing production facilities to improve the economic efficiency of control systems of technological objects have been made. © 2022 IEEE.

关键词： Forecasting

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Design and Simulation Application of Fuzzy controller Based on Granular Computing 7

Design and Simulation Application of Fuzzy Controller Based ...

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7th international conference on Computational Intelligence and Applications, ICCIA 2022

作者： Li, Huiyue Yang, Jianhua Lu, Wei School of Control Science and Engineering Dalian University of Technology Dalian City China

ISBN: (纸本)9781665495844

Fuzzy control theory generates fuzzy rules based on expert experience and experimental data, so fuzzy control method can control complex and large-scale systems without precise mathematical models. But fuzzy control method still has problems: complex structure and rule explosion problem. Aiming at the above problems, this paper proposes a fuzzy control method based on granular computing. Firstly, design the fuzzy controller, the fuzzy rules are generated by the fuzzy space division method. Then, using the information granulation method, each fuzzy rule is granulated into an information granule. Taking points in the information granules to fit the realization function of the granular function, using that function control the object instead of the fuzzy controller. The fuzzy reasoning process is omitted, and the number of rules has nothing to do with the accuracy, it is only related to the number of granules. Therefore, the structure of the control system can be simplified under the condition of ensuring the accuracy of the system, and the problem of rule explosion can be avoided at the same time. The simulation experiment using the second-order inverted pendulum as the control object proves the feasibility and effectiveness of the fuzzy control method based on granular computing. © 2022 IEEE.

关键词： Fuzzy control

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Data-Driven Optimal control for Multi-Player Non-Zero-Sum Games with Unknown Dynamics 4

Data-Driven Optimal Control for Multi-Player Non-Zero-Sum Ga...

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4th international conference on Data-Driven Optimization of complex systems, DOCS 2022

作者： Zhu, Liao Xia, Hongbing Hou, Jiaxu Guo, Ping Beijing Normal University at Zhuhai International Academic Center of Complex Systems Zhuhai China Beijing Normal University School of Systems Science Beijing China

ISBN: (数字)9781665459822

ISBN: (纸本)9781665459822

This paper focuses on optimal control problems of discrete-time nonlinear multi-player non-zero-sum games with unknown dynamics. Based on adaptive dynamic programming, a data-driven adaptive critic control method is developed to obtain the optimal strategies. In order to solve multi-player non-zero-sum games, a new globalized dual heuristic dynamic programming design is proposed without a model network. The coupled Hamilton-Jacobi equations are solved by previous and current value functions for the temporal difference errors. Neural networks are used to approximate value functions and optimal strategies, respectively. The weight updating rules for critic networks and action networks are tuned based on the observing data accrued along system trajectories. The stability analysis of all neural network weights is given by the Lyapunov approach. Simulation results are included to verify the performance of the proposed optimal control scheme. © 2022 IEEE.

关键词： Dynamic programming

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LEARNING CONTINUOUS NORMALIZING FLOWS FOR FASTER CONVERGENCE TO TARGET DISTRIBUTION VIA ASCENT REGULARIZATIONS 11

LEARNING CONTINUOUS NORMALIZING FLOWS FOR FASTER CONVERGENCE...

引用

11th international conference on Learning Representations, ICLR 2023

作者： Chen, Shuangshuang Ding, Sihao Karayiannidis, Yiannis Björkman, Mårten School of Electrical Engineering and Computer Science Royal Institute of Technology Sweden AI Lab Volvo Car Corporation Sweden Department of Automatic Control Lund University Sweden

Normalizing flows (NFs) have been shown to be advantageous in modeling complex distributions and improving sampling efficiency for unbiased *** this work, we propose a new class of continuous NFs, ascent continuous normalizing flows (ACNFs), that makes a base distribution converge faster to a target *** solving such a flow is non-trivial and barely possible, we propose a practical implementation to learn flexibly parametric ACNFs via ascent regularization and apply it in two learning cases: maximum likelihood learning for density estimation and minimizing reverse KL divergence for unbiased sampling and variational *** learned ACNFs demonstrate faster convergence towards the target distributions, therefore, achieving better density estimations, unbiased sampling and variational approximation at lower computational ***, the flows show to stabilize themselves to mitigate performance deterioration and are less sensitive to the choice of training flow length T. © 2023 11th international conference on Learning Representations, ICLR 2023. All rights reserved.

关键词： Maximum likelihood estimation

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Mathematical modeling of the control System of a Municipal Electric Machine

Mathematical Modeling of the Control System of a Municipal E...

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2023 international Russian Automation conference, RusAutoCon 2023

作者： Kurnosov, Dmitry A. Kuleva, Nadezhda Yu. Zakirov, Ramil A. Flying Machines Department Chelyabinsk Russia "Digital Industry"Research and Educational Center Chelyabinsk Russia Processes and Machines of Metal Processing by Pressure Department Chelyabinsk Russia

ISBN: (纸本)9798350345551

The article presents a mathematical description of the phase control of the traction valve electric drive of a municipal machine. Mathematical relations are developed, mechanical and regulating characteristics of the valve electric drive when adjusted for maximum electromagnetic torque and efficiency are constructed. Because there are requirements for the implementation of a wide range of speed and torque control, as well as requirements for high dynamic and energy characteristics for a traction valve electric drive, then the typical field-oriented vector control is not optimal for solving such problems But, in the traction valve electric drive, mostly a permanent magnet motor is used, where the excitation flux is already formed, and it is only necessary to control the stator field flux vector, its module and angular position relative to the rotor flux vector, which are quite easy to measure or to observe and regulate. Such regulation is the basis of the phase control of the valve electric drive. The regulating ratios are based on the mathematical model of the valve motor and allow you to adjust the operating mode of the traction valve electric drive to the maximum speed, maximum efficiency, constant torque or power, to control the attenuation of the field. The article analyzes the mathematical relations of mechanical and energy characteristics, analyzes the regulating properties, and also solves optimization problems to improve the efficiency of control of the traction valve electric drive of a municipal machine. © 2023 IEEE.

关键词： Energy efficiency

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Computer Simulation System for controlling the Polymerization Process in the Production of Synthetic Latex 4

Computer Simulation System for Controlling the Polymerizatio...

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4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Chistyakova, Tamara Balabekovna Ivanov, Aleksandr Aleksandrovich Novozhilova, Inna Vasilievna Saint-Petersburg State Institute of Technology Computer Design and Control Department St. Petersburg Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The article presents the structure of a computer system that allows, based on a library of mathematical models, to solve the problem of controlling the process of emulsion polymerization in the production of synthetic latexes. The computer system makes it possible to study the structure of chemical transformations in various polymerization methods;to investigate the nature of the kinetics of the process (the ratio of the degree of monomer conversion by apparatus, temperature distribution in reactors);to predict the qualitative characteristics of the resulting latex (viscosity, plasticity, surface tension, acidity). The conducted testing of the computer system according to the data of the Federal State Budgetary Institution 'NIISK' (Voronezh) confirmed its operability and the possibility of using it in the production of butadiene-nitrile, heteropolymer and carboxyl-containing latexes. © 2022 IEEE.

关键词： Emulsion polymerization

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Hybrid modeling and control of Modified Cuk Converter 4

Hybrid Modeling and Control of Modified Cuk Converter

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4th international conference on High Voltage Engineering and Power systems, ICHVEPS 2023

作者： Edypoerwa, Mugni Labib Rachmildha, Tri Desmana Hamdani, Deny Mandaris, Dwi Mandaris, Dwi Yoppy Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia Mercu Buana University Electrical Engineering Magister Faculty of Engineering West Jakarta Indonesia Research Center for Testing Technology National Research and Innovation Agency South Tangerang Indonesia

ISBN: (纸本)9798350318678

A power converter with switching mode, which is widely used in power electronics circuits, has some advantages including high efficiency, flexible output voltage, and lightweight. One of the power converters with switching mode is the Cuk converter, which can produce an output voltage lower or higher than the input voltage but with reverse voltage polarization. In addition, the Cuk converter also has a capacitor as an isolation between the input and the output side. In previous studies, the Cuk converter was modified so that it has an output voltage polarization that is not reversed like a conventional Cuk converter but with continuous input and output currents like a conventional Cuk converter. Circuits with switching in power electronics will produce hybrid behavior naturally. control is needed on this switching so that the hybrid behavior of the converter does not cause problems and can overcome disturbances or changes that occur. Modified Cuk converter has a non-linear nature caused by switching activity so non-linear control is needed. The non-linear control design that is generally used for the power converter is complicated. So in this study, the authors proposed a control scheme for a modified Cuk converter based on a hybrid model. The proposed control scheme has the advantage of a simpler and easier design and tuning process. The expected result of this research is a control scheme that is simple and easy to design on this modified Cuk converter which can overcome disturbances or changes that occur in the circuit by giving control commands to the switching. © 2023 IEEE.

关键词： Flexible electronics

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Computer-Aided Diagnosing of Tumor Diseases Using CT Images 4

Computer-Aided Diagnosing of Tumor Diseases Using CT Images

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4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Burkin, Dmitriy Rumovskaya, Sophiya Litvin, Andrey Kuzin, Dmitriy Ponimash, Zahar Paramzin, Fedor AIMEDICA Llc Kaliningrad Russia Kaliningrad Branch of the Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Kaliningrad Russia Immanuel Kant Baltic Federal University Kaliningrad Regional Clinical Hospital Kaliningrad Russia Kaliningrad Regional Clinical Hospital IT Department Kaliningrad Russia Immanuel Kant Baltic Federal University Central City Clinical Hospital Kaliningrad Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

In the paper, we describe an algorithm for diagnosing tumor diseases using CT images. It is based on a modified U-Net neural network. We developed a post-processing block that makes a decision about the presence of a cancerous tumor in a given area and a classification block that is responsible for detecting the fact of the presence of a tumor. The segmentation accuracy according to the Dice metric was 89% and was 83 % in more complex cases. © 2022 IEEE.

关键词： Neural networks

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