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18th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2020

作者： Mesaros, P. Kanalikova, A. Behunova, A. Mandicak, T. Spisakova, M. Faculty of Civil Engineering Department of Economics Management and Information Systems in Construction Kosice Slovakia Faculty of Civil Engineering Department of Applied Mathematics and Descriptive Geometry Kosice Slovakia Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Kosice Slovakia Faculty of Civil Engineering Department of Technologies and Innovations in Construction Kosice Slovakia

ISBN: (纸本)9780738123660

For education, 2020 became the year of distance learning and online communication in the teacher-student relationship, but also in the student-student relationship. This teaching system brings many challenges for both parties and the need to improve the communication and digital competencies of all involved. It also requires increased demands on the hardware and software provision of teaching on both sides of the teaching process. This article focuses on the issue and description of communication and digital skills needed for distance learning. The main goal of the research is to compare and map the communication and digital ICT competencies of faculty students with a construction focus during full-time and distance learning. The results of the research are analyzed in the article using methods of descriptive as well as analytical statistics. © 2020 IEEE.

关键词： Students

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Analysis of modified optimization in multivarible predictive control with regards to control quality

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and applied Mechanics 2019年第5期2019卷 7-12页

作者： Kubalcik, Marek Bobal, Vladimir Barot, Tomas Department of Process Control Tomas Bata University in Zlin Faculty of Applied Informatics Nad Stranemi 4511 Zlin760 05 Czech Republic Department of Mathematics with Didactics University of Ostrava Faculty of Education Frani Sramka 3 Ostrava709 00 Czech Republic

Model predictive control (MPC) has been a widely researched strategy in the modern control theory. Various modifications of MPC are focused on improving of two subsystems – the predictor and the optimizer, which cooperate mutually on the receding horizon. In constrained predictive control, the optimization is a quadratic programming problem, which has to be solved numerically. Namely, in constrained multivariable MPC, the constraints and the multi-variability of the process cause excessive increasing of the computational complexity. Reducing of computational time and decreasing of a number of numerical operations are particularly desirable. This is the reason for efforts to modify algorithms of numerical optimization. These modifications can influence control quality. This paper deals with one modification of the Hildreth optimization method and accurate analysis of its impact to quality of control. For analysis of impact to control quality, descriptive statistical methods are frequently used;particularly, methods based on analysis of floating point operations are complemented with their regression analysis for expression of complexity function O. However, the regression analysis of these results belongs only to non-inductive statistical methods depending on particular measurements of a computational complexity. For purposes of increasing responsibility of control quality indicators, set of specific statistical methods aimed on testing hypotheses is recommended in this paper. Testing hypotheses can be applied with strictly defined significance level. Practical implementation of modified MPC algorithm is statistically analyzed in comparison with unmodified MPC using proposed set of particular statistical methods. © 2019, Cefin Publishing House. All rights reserved.

关键词： Quadratic programming

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Modified hildreth’s method applied in multivariable model predictive control 3rd

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3rd Conference on Innovation, Engineering and Entrepreneurship, Regional HELIX 2018

作者： Kubalcik, Marek Bobal, Vladimir Barot, Tomas Department of Process Control Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stráněmi 4511 Zlín760 05 Czech Republic Department of Mathematics with Didactics Faculty of Education University of Ostrava Mlynska 5 Ostrava701 03 Czech Republic

ISBN: (纸本)9783319913339

A significantly important part of model predictive control (MPC) with constraints are algorithms of numerical optimization. Reduction of the computational complexity of the optimization methods has been widely researched. The reason is that in certain cases of predictive control of fast dynamics processes an optimization algorithm may not be feasible within the sampling period time. This situation occurs particularly when requirements on control are more complex, e.g. in the multivariable control. Hildreth’s method based on the dual-problem-optimization-principles has been widely applied and implemented in model predictive control. However, modifications of this method are not widely described in context of model predictive control. This paper proposes a modification of Hildreth’s method, which reduces the computational complexity of the algorithm, and its application in the multivariable predictive control. © 2019, Springer International Publishing AG, part of Springer Nature.

关键词： Quadratic programming

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Statistical analysis of control quality of MPC using testing hypothesis

Statistical analysis of control quality of MPC using testing...

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23rd International Conference on Circuits, Systems, Communications and Computers, CSCC 2019

作者： Kubalcik, Marek Bobal, Vladimir Barot, Tomas Department of Process Control Tomas Bata University in Zlin Faculty of Applied Informatics Nad Stranemi 4511 Zlin76005 Czech Republic Department of Mathematics with Didactics University of Ostrava Faculty of Education Fr. Sramka 3 Ostrava70900 Czech Republic

Methods of the statistical induction have a significant role in the quantitative research. In a wide spectrum of research areas, the methods based on testing hypotheses have been frequently used. However, in the area of the process control, testing hypothesis has not been widely considered as an established tool for signal analyses, although signals in control loops are suitable for analysis by means of quantitative statistical methods due to their stochastic character. Particularly, a statistical paired comparison can be applied for analysis of control quality achieved with different control algorithms. This comparison can be based on a paired comparison of corresponding signals obtained with different or modified control algorithms. The aim of this paper is a proposal of incorporation of testing hypothesis to analysis of control quality. The analysis was performed on a strictly defined significance level 0.001, which is a standardly used value in technical applications. As an example was demonstrated analysis of control quality achieved with two versions of a predictive controller. Finally, achieved results of paired comparison using testing hypothesis are discussed. © 2019 The Authors, published by EDP Sciences.

关键词： Stochastic systems

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Results of a pilot experiment on monitoring the condition of buildings and structures using unmanned aerial vehicles

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IOP Conference Series: Earth and Environmental Science 2021年第1期939卷

作者： M Yu Narkevich O S Logunova P I Kalandarov A N Kalitaev G V Tokmazov P Yu Romanov O Alimov Department of Design of Buildings and Building Structures Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Department of Computer Engineering and Programming Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Department of Automation and Control of Technological Process and Production Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Tashkent Uzbekistan Department of Higher Mathematics Admiral F.F. Ushakov State Maritime University Novorossiysk Russia Department of Applied Mathematics and Computer Science Magnitogorsk State Technical University named after G.I. Nosov Magnitogorsk Russia Jizzakh Polytechnic Institute Jizzakh Uzbekistan

The purpose of the experimental study presented in the paper is to generate new knowledge about the possibility of using unmanned aerial vehicles to survey buildings and structures for subsequent extraction of information about their condition in hard-to-reach or remote places. As objects for the pilot experiment, the following were selected: a residential building in an urban environment that has been destroyed during operation; an object of unfinished construction; a roadway on the carriageway. An unmanned aerial vehicle of the model: DJI Mavic Air was used to survey the objects. The results of the study of objects are recorded in the form of photo and video streams for each object. Comparison of the results of the inspection of objects by experts and unmanned aerial vehicles showed the possibility and necessity of using new means to collect information about the condition of buildings and structures. The primary processing of the obtained images revealed their features: the effect of illumination on the color characteristics of the object of study; the presence of a textural component that complicates the process of separating the defect from the background; the presence of objects in the image that are not related to the elements of surface destruction; the change in the initial size of the object over time. The detected features of the images allow the use of standard algorithms and processing and require the synthesis of unique trajectories of their application.

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Two degrees-of-freedom hybrid adaptive approach with pole-placement method used for control of isothermal chemical reactor

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Chemical Engineering Transactions 2017年 61卷 1855-1860页

作者： Vojtesek, Jiří Prokop, Roman Dostal, Petr Department of Process Control Faculty of Applied Informatics Tomas Bata University in Zlin Nad Stranemi 4511 Zlin76005 Czech Republic Department of Mathematics Faculty of Applied Informatics Tomas Bata University in Zlin Nad Stranemi 4511 Zlin76005 Czech Republic

Continuous Stirred-Tank Reactors (CSTR) are technological plants often used in the chemical or biochemical industry for the production of various types of chemicals. These systems are very complex from the control point-of-view - mainly because of their nonlinearity. controlling such processes by means of conventional methods that use controllers with fixed parameters;often produces bad - or even, unacceptable results. This is the right field for so-called "modern" control methods like Robust, Predictive, and Adaptive control. The control method used in this work is a hybrid adaptive control where the originally nonlinear system is represented by the external linear model whose parameters are recursively identified during the control phase. The pole-placement method with a spectral factorization and two degrees-of-freedom (2DOF) control configuration used in the control synthesis in order satisfy the basic control requirements, for instance: stability, reference signal tracking and disturbance attenuation. Moreover, the resulting controller obtained from the polynomial synthesis is easily programmable and be implemented in control computers. All of the proposed methods were tested by simulations on a mathematical model of an isothermal CSTR, with a complex reaction inside. The results so obtained, demonstrate the applicability of this control method for these kinds of processes. The team used the MATLAB simulation program in this research. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： controllers

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Robust nonlinear extended prediction self-adaptive control (NEPSAC) of continuous bioreactors

Robust nonlinear extended prediction self-adaptive control (...

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2012 20th Mediterranean Conference on control and Automation, MED 2012

作者： Dutta, Abhishek De Keyser, Robain Nopens, Ingmar Department of Electrical Energy Systems and Automation Ghent University 9000 Gent Belgium Department of Applied Mathematics Biometrics and Process Control Ghent University 9000 Gent Belgium

ISBN: (纸本)9781467325318

A nonlinear predictive control strategy (NEPSAC) is formulated for a continuous bioreactor characterized by severe non-linearity and parameter time-variance, with the control objective being to regulate the fermenter operation near the optimum productivity. Robustness towards the unpredictable time-variance, which comes from cell-mass growth, is guaranteed by disturbance filter design. The dilution rate and feed substrate concentration are considered as manipulated inputs, while the state variables are the biomass, substrate and product concentrations. Results obtained with robust NEPSAC are presented and compared with those obtained with other model predictive control and various linearization based strategies. © 2012 IEEE.

关键词： Model predictive control

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Computation of imaginary axis eigenvalues and critical parameters for neutral time delay systems

Computation of imaginary axis eigenvalues and critical param...

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作者： Ochoa, Gilberto Mondié, Sabine Kharitonov, Vladimir L. Automatic Control Department CINVESTAV Av. IPN C.P. 07360 Mexico City D.F. Mexico Applied Mathematics and Control Process Department St.-Petersburg State University St.-Petersburg Russia

ISBN: (纸本)9783642252204

In this paper, a procedure for the computation of the Lyapunov matrix of neutral type systems, with delays multiple of a basic one, is recalled: It consists in solving a boundary value problem for a delay free system of matrix equations. The important property that the elements of the spectrum of the delay system that are symmetric with respect to the imaginary axis belong to the spectrum of the delay free system is also established. This property is exploited for the determination of the critical values of the time delay system. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

关键词： Boundary value problems

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Robust nonlinear extended prediction self-adaptive control (NEPSAC) of continuous bioreactors

Robust nonlinear extended prediction self-adaptive control (...

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Mediterranean Conference on control and Automation (MED)

作者： Abhishek Dutta Robain De Keyser Ingmar Nopens Department of Applied Mathematics Biometrics and Process Control Ghent University Gent Belgium Department of Electrical Energy Systems and Automation Ghent University Gent Belgium Universiteit Gent Gent BE

关键词： Computational modeling

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Monotonicity of fuzzy rule bases: On differences between graded and non-graded approaches

Monotonicity of fuzzy rule bases: On differences between gra...

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Joint 7th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2011 and 17th French Days on Fuzzy Logic and Applications, LFA 2011

作者： Daňková, Martina Ŝteňpnicňka, Martin De Baets, Bernard Institute for Research and Applications of Fuzzy Modeling University of Ostrava Ostrava Czech Republic Department of Applied Mathematics Biometrics and Process Control Ghent University Gent Belgium

ISBN: (纸本)9789078677000

This contribution provides an exhaustive explanation of the graded approach to the monotonicity property (of a fuzzy relation) and its non-graded version. Our framework is algebraic. We present a wide variety of examples to support our claims relating to the well defined notion and suitability for fuzzy rule base applications and moreover, to improve the readability of the related mathematical formulae. © 2011. The authors-Published by Atlantis Press.

关键词： Fuzzy rules

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