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1st International Conference on computer science, Engineering and Education Applications, ICCSEEA2018

作者： Rolik, Oleksandr Telenyk, Sergii Zharikov, Eduard Department of Automation and Control in Technical Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Kyiv Ukraine Department of Theoretical Electrical Engineering and Computer Science Faculty of Electrical and Computer Engineering Cracow University of Technology Cracow Poland

ISBN: (纸本)9783319910079

Modern data centers’ providers are gradually moving away from traditional and multi-vendor IT infrastructures to open, standardized and interchangeable solutions that are based on a software defined approach to managing data center resources. The authors analyze the architectural features, requirements, limitations, hardware and software of hyperconverged infrastructures and their advantages in comparison with traditional and converged architectures deployed in data centers. The authors propose to employ two-level coordination schema to manage compute, storage, network and virtualization subsystems of hyperconverged infrastructure along with the self-management algorithms inside these subsystems. © Springer International Publishing AG, part of Springer Nature 2019.

关键词： Digital storage

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Multiple neural networks switched prediction for landslide displacement

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Engineering Geology 2014年 186卷 91-99页

作者： Lian, Cheng Zeng, Zhigang Yao, Wei Tang, Huiming School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China School of Computer Science South-Central University for Nationalities Wuhan 430074 China Faculty of Engineering China University of Geosciences Wuhan 430074 China

An accurate prediction of landslide displacement is challenging and of great interest to governments and researchers. In order to reduce the risk of selecting the types of influencing factors and artificial neural networks (ANNs), a multiple ANNs switched prediction method is proposed for landslide displacement forecasting. In the first stage, a set of individual neural networks are developed based on different environmental factors and/or different training algorithms. In the second stage, a switched prediction method is used to select the appropriate individual neural network for prediction purpose. For verification and testing, three typical landslides in Three Gorges Reservoir, namely Baishuihe landslide, Bazimen landslide and Shiliushubao landslide, are presented to test the effectiveness of our method. Application results demonstrate that the proposed method can significantly improve model generalization and perform similarly to, or better than, the best individual ANN predictor. © 2014 Elsevier B.V.

关键词： Forecasting

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RETRACTED ARTICLE: Material inner defect detection by a vibration spectrum analysis

RETRACTED ARTICLE: Material inner defect detection by a vibr...

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作者： Krejcar, Ondrej Frischer, Robert Dept. of Measurement and Control Center for Applied Cybernetics Faculty of Electrical Engineering and Computer Science Ostrava Czech Republic Dept. of Automation and Computing in Metallurgy VSB Technical University of Ostrava Ostrava Czech Republic

ISBN: (纸本)9781424474806

In this paper is described possibility of nondestructive diagnostics of solid objects by software analysis of vibration spectrum. With using platform MATLAB, we can process and evaluate information from accelerometer, which is placed on the measured object The analog signal is digitized by special I/O device dSAPCE CP-1104 and then processed offline with FFT (Fast Fourier Transform). The power spectrum is then examined by developed evaluating procedures and individual results are displayed in bar graph. When we take a look on results, there is an evidently correlation between spectrum and examining object (inner defects). © 2010 IEEE.

关键词： Spectrum analysis

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Analysis of stability nonlinear systems with varying parameters using Popov criterion

Analysis of stability nonlinear systems with varying paramet...

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IEEE International Conference on computer-Aided Design

作者： Petru Dobra Mirela Trusca Faculty of Automation and Computer Science Department of Autmatic Control Technical University of Cluj Napoca Romania

This paper establishes sufficient conditions for absolute stability of time-varying control systems. The proposed conditions extend in a simple way the classical Popov criterion to time-varying memoryless nonlinearities, using previous results of Kharitonov. They are expressed in terms of linear matrix inequalities (LMIs). A weaker frequency domain criterion is deduced, leading to a simple graphical interpretation. The results ensure in general local stability, however, the stability is global for linear time-varying systems. Examples are presented to show the efficacy of these extensions within the MATLAB environment

关键词： Stability analysis Stability criteria Nonlinear systems Transfer functions Polynomials Nonlinear control systems control systems Time varying systems Uncertainty Mathematical model

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controlling a chaotic behavior of a Current Mode controlled Boost Converter Using Ott-Grebogi-Yorke Method

Controlling a chaotic behavior of a Current Mode Controlled ...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： F. Dragan Faculty of Automation and Computer Science Department of Automatical Control University of Politehnica Timisoara Timisoara Romania

Chaotic behaviors at the current mode controlled boost converter were demonstrated by computer simulation studies (Chan and Tse, 1997; Banerjee et al., 2000). The proposed control strategy OGY (Ott Grebogi-Yorke) tries to stabilize one unstable trajectories from an chaotic attractor. The result of this method is the transformation from a chaotic trajectory in a periodic one

关键词： Chaos Automatic control Switches Bifurcation computer simulation Switching circuits automation computer science Switching converters Diodes

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Advantages of robust control for series load pulse amplitude modulation induction heating inverter

Advantages of robust control for series load pulse amplitude...

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IEEE International Conference on automation, Quality and Testing, Robotics, AQTR

作者： T. Szelitzky E. H. Dulf Department of Automatic Control Faculty of Automation and Computer Science Technical University of Cluj Napoca Romania

ISBN: (纸本)9781424467242;9781424467228

The goal of this paper is to present the advantages of robust control in comparison with classic control techniques. Pulse amplitude modulation induction heating inverter with series resonant load circuit with uncertainties is presented for heating nonferrous metals. Inverters performance with robust and PI control will be compared.

关键词： Robust control Pulse inverters Pulse modulation Amplitude modulation Inductors Heating Resistors Bridge circuits RLC circuits Magnetic materials

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Three-dimensional Non-holonomic Integrator control Design Applied to Induction Motors

Three-dimensional Non-holonomic Integrator Control Design Ap...

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第27届中国控制与决策会议

作者： Boja Grcar Peter Cafuta Gorazd Stumberger Anton Hofer University of Maribor Faculty of Electrical Engineering and Computer Science TU Graz Institute for Control and Automation

ISBN: (纸本)9781479970186

In the contribution new results in a control design of a general three-dimensional non-holonomic integrator(NHI) including drift terms is *** global asymptotic stability(GAS) proposed non-linear controller assure also minimal input norm during transients and in steady states and high dynamic in output response for a piecewise constant reference *** to appropriate input modulation internal states follow natural periodic orbits necessary to fulfill non-holonomic *** a non-linear transformation that describe error dynamics feedback stability is proven by using Lyapunov *** value of the proposed design is illustrated on the example of induction machine torque control along with a simulation and experimental results.

关键词： Three-dimensional non-holonomic integrator,Drift,Non-linear control,Minimal input norm,Non-linear transformations,Global stability,Lyapunov function,Induction motors control

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Development and evaluation of normal performance recovery method of a functional system

Development and evaluation of normal performance recovery me...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： I. Karpics Z. Markovics Faculty of Computer Science and Information Technology Institute of Computer Control Automation and Computer Engineering Riga Technical University Riga Latvia

Different type dynamic systems in functional work phase lose performance and it's necessary to establish normal operation level by using external influence. External influence can be defined as recovery method. In practice exists different possibilities how to resume performance of system and the main objective is to select the most efficient solution. In the article new approach for normal operation recovery selection is defined, including each recovery and recoveries complex assessment for optimal solution selection. For optimal solution choice benefit and disadvantage criteria are proposed. For practical implementation in case of medicine, arterial hypertension evaluation and pathogenesis therapy selection is described.

关键词： Medical treatment Mathematical model Organisms Medical diagnostic imaging Hypertension Optimization Decision making

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Composition of united multiple diseases evolution topological model

Composition of united multiple diseases evolution topologica...

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International Symposium on Intelligent Systems and Informatics (SISY)

作者： I. Karpičs Z. Markovičs I. Markoviča Institute of computer control automation and computer engineering Faculty of computer science and information technology Riga Technical University Riga Latvia

Mathematical models are constructed and used as a methodology of various functioning systems structure investigation and performance analysis. The main goal of mathematical model usage is to perform wholesome diagnostics and correct work resumption of investigated system. In the article topological modeling method has been investigated by giving fundamental basics and application spheres by examples. Authors propose model construction method with an example from medicine by creating multiple diseases (arterial hypertension, atherosclerosis and diabetes mellitus) evolution topological model with formal aspects. Developed modeling method and united diseases model can be used to prognosticate evolution of diseases, perform inspection of used therapies and provide information for optimal therapy complex selection.

关键词： Mathematical model Medical treatment Diseases Organisms Medical diagnostic imaging Predictive models Numerical models

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Personalized therapy selection by using multi-objective optimization

Personalized therapy selection by using multi-objective opti...

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IEEE International Conference on Intelligent Engineering Systems (INES)

作者： Ivars Karpics Institute of computer control automation and computer engineering Faculty of computer science and information technology Riga Technical University Riga Latvia

In the article a therapy selection method by using topological modelling and multi- objective optimization is presented. In a medicine practice a doctor by taking into the count patients' health state and laboratory results, tries to suggest a treatment strategy, which mostly is a drug therapy. To solve this task a decision support system has been developed and proposed. The system includes a mathematical model of three self connected diseases. Therapies are evaluated by five efficiency objectives. To find the optimal therapy, seven multi- objective methods are selected and used. Optimization methods form decision support module which is implemented in the medical computer system. To evaluate a performance of the system, test examples are analysed. Conclusion includes the summary and proposals of further research.

关键词： Mathematical model Drugs Optimization methods computers

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