Vol. 23, No. 1

Browse

Recent Submissions

Now showing 1 - 5 of 26
  • Thumbnail Image
    Item
    Detection of Emergent Situations in Complex Systems by Structural Invariant (MB, M)
    (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01) Bila, Jiri; Novak, Martin
    The paper introduces complete description of the detection method that uses structural invariant Matroid and its Bases (MB, M). There are recapitulated essential concepts from the used knowledge field as “complex system, emergent situations (A, B, C)”, Ramsey theorem and principal computation variables “power” and “complexity” of emergence phenomenon. The method is explained in details and the demonstration of its application is done by the detection of emergent situation – violation of Short Water Cycle in an ecosystem.
  • Thumbnail Image
    Item
    Design of Linear Quadratic Regulator (LQR) Based on Genetic Algorithm for Inverted Pendulum
    (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01) Marada, Tomas; Matousek, Radomil; Zuth, Daniel
    One of the crucial problems in the dynamics and automatic control theory is balancing of an invertedpendulum robot by moving a cart along a horizontal path. This task is often used as a benchmark for di erentmethod comparison. In the practical use of the LQR method, the key problem is how to choose weight matricesQ and R correctly. To obtain satisfying results the experiments should be repeated many times with di erentparameters of weight matrices. These LQR parameters can be tuned by a Genetic Algorithm (GA) techniquefor getting better results. In our paper, the LQR parameters weight matrices Q and R which were tuned usingthe Genetic Algorithm. The simulations of the control problem are designed using MATLAB script code andMATLAB Simulink on an inverted pendulum model. The results show that the Genetic Algorithm is suitablefor tuning the parameters to give an optimal response. The control problem of the inverted pendulum was solvedsuccessfully.
  • Thumbnail Image
    Item
    On Testing Reduction of Left-Censored Weibull Distribution to Exponential Submodel
    (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01) Fusek, Michal
    When analyzing environmental or chemical data, it is often necessary to deal with left-censoredobservations. Since the distribution of the observed variable is often asymmetric, the exponential or the Weibulldistribution can be used. This paper summarizes statistical model of a multiply left-censored Weibull distribution,and estimation of its parameters and their variances using the expected Fisher information matrix. Since inmany situations the Weibull distribution is unnecessarily complicated for data modelling, statistical tests (theLagrange multiplier test, the likelihood ratio test, the Wald test) for assessing suitability of replacement ofthe censored Weibull distribution with the exponential submodel are introduced and their power functions areanalyzed using simulations.
  • Thumbnail Image
    Item
    Empirical Casestudy on Approaches to Sampled Control
    (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01) Burger, Alexandra; Wellhausen, Jens
    Two main approaches on sampled control are compared, the descrete equivalent design and the direct discrete design. Both design methods are used to implement a control system for a real plant, DC-motor. It is shown that discrete equivalent design works well with su cient high sampling rates and that direct discrete design works nearly independent of sampling time.
  • Thumbnail Image
    Item
    Heuristic Methodology for Forecasting of Production in Waste Management
    (Institute of Automation and Computer Science, Brno University of Technology, 2017-06-01) Smejkalova, Veronika; Somplak, Radovan; Nevrly, Vlastimir
    The forecast of waste production and disposal is an important requirement for a future waste management planning. The problem is very often a short time series of the database. This paper suggests an approach to forecast the production of multiple waste types in micro-regions taking into account this challenge by combining many techniques. The heuristic methodology consisting of few steps is formulated. First, the input data are transformed and the methods from cluster analysis are repetitively applied. The second step is  about a determination of quality for trend functions based on historical data. In the last step is performed the  testing. The di erent type of representatives from cluster analysis is used to calculate indices of determination which are compared. This procedure is repeated until the criteria hit. The proposed approach reduced the  computational time and managed to aggregate micro-regions with a similar trend. The forecast should have contributions in terms of building new facilities or adaptations to the existing ones, where it is necessary to estimate the production of waste for several years in advance. The article includes a case study of production forecast for several waste types in territorial units of the Czech Republic. The forecast is based on data in years 2009{2014 and following year 2015 was used to assess the quality of the nal models. In the future, the database will expand and thus it will be possible to make more precise estimates and to develop statistical methods to measure this prognostic tool.