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There are examples of systems in which equilibria is Lyapunov-unstable, but is located on a boundary of a forward-invariant set. For initial conditions in this set corresponding solutions remains bounded and the equilibrium in some case is a weak attractor. The goal of this paper is to find an algorithm for estimating for-ward invariant set for a class of unstable systems. The proposed algorithm is...
The proposed localization method for graphical objects of scene image is invariant to the illuminance conditions, scale, offset and rotation of the objects. The method is based on a vector representation of scene image and searched object. Model for building of object pattern and algorithm of its recognition are represented. Experimental results for real images are shown.
This paper aims to establish the leaf morphological visualization model based on the rice's growth external environment. Firstly, the support vector machine is adopted to establish the prediction models of leaf's physical attributes; secondly, the piecewise cubic Hermite spline curves are applied to visualize this model. This study, based on the quadratic equation simulation on the main leaf vein,...
This paper describes an adaptive control system of an air vehicle's (AV) longitudinal motion with account for wing aeroelasticity. A nonlinear mathematical model of resilient aircraft's longitudinal motion is designed. Adaptive control system of a resilient AV is built by means of majorizing function and its efficiency undergoes computerized testing under function parameter uncertainty of AV model...
This paper describes application of calculated torque method and majorizing functions method to the synthesis of adaptive control systems with rigid multi degree of freedom interconnected nonlinear mechanical plants.
The current stage in the development of information systems is characterized by the use of multi-component distributed architectures and methods of intellectual processing and analysis of large amounts of heterogeneous data. At present, the problem of ensuring the reliability and safety of such systems has not been sufficiently investigated. The purpose of the work is to develop a method for computer...
The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample size was 3803 users with 785066...
Basic model of decision support system when controlling operational modes of electric power supply systems (ESS) in oil companies is presented in the article. The main features of typical oil field ESS is described. The decision making process is considered and the data used in this process is presented.
The paper presents approaches to natural phenomena formalization for practical problems solving. The recommendations based on the natural computation for the pattern recognition problem were described. The main work purpose included analysis a natural computing and the search for the pattern recognition problem solution by new features. Natural computing model types description and the trends of the...
A problem of parameters adjustment of a PI-controller for nonlinear heating industrial units control is considered. The aim is to adjust such regulators online in accordance with plant parameters change to improve the quality of transients and, as a result, plant energy efficiency. A neural tuner is used for these purposes. It includes a neural network (its outputs are the values of the controller...
The goal objective is to improve the efficiency of solving discrete optimization problems. The proposed method refers to the “fast” methods and was named the “Local genetic method”. The peculiarity of this method is that the chromosomes do not encode the whole solution, but only a small part of the plan. Therefore, the method allows us introducing unary and binary operations that take into account...
The work is based on the application of the method of modeling and analysis of variations in the intensity of cosmic rays developed by the authors. Method allows to allocate abnormal changes in the dynamics of the data and to obtain quantitative estimates of the time of their occurrence, the time duration and intensity. The modeling procedure involves joint use of construction of multiresolution wavelet...
At maritime navigation, building an effective route assumes several difficulties. When the problem area is large, seaway is complex and according to natural reasons it varies in time, strict route building methods may be ineffective because they require too much time. The paper describes a method for building an optimal route for a vessel by utilising parallel genetic algorithm. Descriptions for both...
The aim of this work is to increase reliability of personal biometric authentication systems deployed on mobile devices. Particularly considered is authentication via handwriting. Proposed approach is based on usage of devices with multilevel pressure sensor considering pressure power while handwriting. Implemented algorithms apply neural networks. As a result obtained reliability of signatures online...
We studied the cooperativity between geomagnetic observations determined by the total cross-correlations between geomagnetic data from different observatories and global solar activity indices. After some preliminary data analysis that included the elimination of outlier measurement likely corresponding to anomalous solar activity and associated magnetic storm conditions, using regression analysis...
The application of the theory of fuzzy sets and the new methodology to the problems of reliability and safety of complex control systems require profound studies of cause-effect relationships, the complex nature of system failures, a mathematical grounded approach that allows for the integrated recording of reliability parameters. With the current level of informatics, it seems possible to create...
The paper considers organization of soft coordination of streaming informational processes' interaction in space that enables to carry out distributed non-algorithmic processing of signals mixed as to the form of their presentation. The advantage of this approach is enlarged fault-tolerance, survivability and performance.
The aim of the paper is providing resistance of the deniable encryption protocols to coercive attacks at which coercer has possibility to cause repeated encryption of the same input messages and/or to estimate the duration of the decryption procedure performed for disclosing the secret message. It is used the method of randomizing the encryption process and the same decryption algorithm is specified...
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