Applied Mathematics and Control Sciences

The algorithm of identification of a static control object with a priori constraints. This article examines the work of the special identification algorithm that takes into account available information about the parameters of the control object. The algorithm requires the use of a large amount of computational resources. However, in our time, such computational power is available to most users. Is an example of an identification algorithm of the static control object with a priori constraints.

We consider a mathematical model of thermoelastic plate vibrations under certain assumptions. The model is based on the nonclassical high-order equation of the mathematical physics, in addition, the equation is an equation of the Sobolev type. As is known, a Cauchy problem for the equation of Sobolev type is not solvable for arbitrary initial values. In this paper we consider the Showalter-Sidorov problem, which is solvable for arbitrary initial values and is more suitable for a Sobolev type equation. In appropriately chosen functional spaces, the considered mathematical model can be reduced to an abstract Sobolev type equation of the third order with relatively ( n , p )-sectorial operator on the right-hand side. The main research approach is the method to construct resolving semigroups.

Article discuss the problem of operational control and technological coordination in the metallurgical industry. Steelmaking has a complex system of connections, presents difficulties for business planning. As part of the operational control of the production has been allocated sub-task scheduling production, monitoring violations of the plan and the establishment of corrective action with respect to the planned state. To effectively solve the problem the authors propose an approach based on multi-agent technology. Еlements of deterministic chaos theory uses аs inter-agent communication action. It is assumed that the method inter-agent communication will allow to solve the optimization problem of means and methods of modeling the complex structure of production flows in order to analyze their applicability for modeling the structure of their industries chaos to increase growth performance.

This article scope is to process statistical data obtained by analyzing the information system user keystroke pattern. The main characteristics of the keystroke pattern are considered. The research gives an overview and comparative analysis of data flow processing methods if the purpose is to reveal hidden dependencies of the keystroke pattern. Solving this problem, it is proposed to use both classical statistical methods, for example, factor analysis, and such artificial intelligence methods as artificial neural networks and immune networks.

In the article it is suggested to use outsourcing as a protective measure in case of high probability of realizing the risks of IT services. It is calculated the economic efficiency from the introduction of IT outsourcing in a small enterprise, which proves the feasibility of its implementation. The task of developing a risk insurance system is also given, and the conditions under which it is beneficial to use this protective measure are given.