Begell House Inc.
Journal of Automation and Information Sciences
JAI(S)
1064-2315
32
4
2000
Structural Effect of the Feedback and Current Methods for Synthesis of Automatic Systems
1-5
Leonid M.
Boychuk
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education of Ukraine, Kyiv
Structural similarity between adjustment conditions in automatic systems and self-adjustment (homeostatism) for natural systems is under consideration.
Synthesis of Linear and Nonlinear Systems of Terminal Control Based on Models of the Terminal State
6-11
Evgeniy A.
Shushlyapin
Sevastopol State Technical University, Ukraine
Equivalent models of terminal state for the terminal systems with quadratic criterion of the terminal state are formulated by applying the Cauchy-Lagrange and the Alekseyev formulas. Methods for terminal systems synthesis were constructed for these models. One method is based on application of the maximum principle, which gives an analytical expression for controlling the terminal state for linear nonstationary systems. The second method is a new approach, which is specially suited for models of the terminal state. Within the new approach algorithms for controlling linear and nonlinear systems, where control is formed as a function of current state, were worked out.
Optimization of Structure of Capital Investments for Investment Project of Enterprise
12-17
Mikhail Z.
Zgurowsky
National Technical University of Ukraine "Kyiv Polytechnical Institute"
Yuliya V.
Bondarenko
National Technical University of Ukraine "Kyiv Polytechnical Institute", Ukraine
The article deals with simulation of investment processes on a microlevel for prediction of the enterprise investment activity. The algorithm for determining optimal volumes of investment is elaborated based on linear programming theory and statistical models. The obtained model can have practical application in optimization of resource distribution.
Optimal Technological Structures Synthesis in Science Intensive Industries and Distribution of Resources for their Development. Part 1. Synthesis of Industry Optimal Structures under Given Amount of Technologies
18-25
Alexander A.
Negoda
National Space Agency of Ukraine
The problem of synthesis of the optimal technological structure of an industry and the problem of distribution of resources for its development within the framework of long-term programs is considered in the article from the point of view of system analysis. The paper consists of two parts. The first deals with the formulation of problems of synthesis of the optimal structures of an industry in the presence of the given number of technologies. The second part is devoted to problems of optimal structures on appearance of new technologies and to the problem of optimal distribution of limited resources between support of present technologies and formation of new, more effective ones.
Ellipsoidal Algorithms of Guaranteed Estimation and the Recurrent Least Square Method in Problems for Filtering States of Dynamical Systems
26-38
Gennadiy M.
Bakan
Training and Complex "Institute of Applied System Analysis" Ministry of Education and Science of Ukraine and National Academy of Sciences of Ukraine at National Technical University of Ukraine"Kiev Polytechnical Institute",Kiev
The parameterization of the set-theory ellipsoidal algorithm for estimating states of a linear dynamic object by observations distorted by bounded hindrance is realized in such a way that parameters of the looked for ellipsoidal estimation minimized the additive quadratic functional. Thereby the relation between the algorithm of the ellipsoidal estimating and the classical (recurrent) least square method is set.
Pseudo-inversion of Matrixes in the Problem of Identification and Construction of the Adaptive Controllers
39-46
Sergey V.
Bondar
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine
The problem about the construction of the adaptive control system is considered. Recurrent formulas for parameter identification of the linear systems are derived with application of pseudo-inverse matrixes. The robustness of the suggested algorithms relative to disagreement of structures of the controlled object and the linear mathematical model is shown.
Robustness Conditions of Adaptive Control Systems with Parametric and Nonparametric Uncertainties
47-56
Leonid S.
Zhiteckii
International Research and Training Center
of Information Technologies and Systems
of National Academy of Sciences of
Ukraine and Ministry of Education and
Science of Ukraine, Kiev
The problem of adaptive control for discrete-time dynamic objects under the condition of the non-simulated dynamics and bounded noise with unknown level is considered. The main peculiarity of the constructed adaptation algorithm is that the level of value connected with appearing non-simulated dynamics and level of noise are evaluated separately. The sufficient conditions, which guarantee the robust stability for wide class of adaptive control systems with parametric and nonparametric uncertainties, are established.
Numerical-Analytical Approach to the Solution of the Terminal Problem of Optimization
57-62
Oleg G.
Kovrizhkin
Kyiv Air Force Institute
Alexander A.
Litvin
Kyiv Air Force Institute
The approach for solution of the terminal optimization problem for a nonlinear dynamic object is considered. This approach is based on the transition from the canonical system of ordinary differential equations of the maximum principle to equations in ordinary differentials with application of the concept of the opposite motion method. The example is illustrated.
Variational S-convergence of Minimization Problems. Part II. Topological Properties of S-limits
63-73
Peter I.
Kogut
Oles Honchar Dnepropetrovsk National University
Mathematical Simulation of Random Signals in Systems with Ionospheric Channels
74-83
Yuriy V.
Mitihin
Cherkassy Engineer-Technological Institute, Ukraine
New algorithms for simulation of random signals with nonuniform statistic distribution for the phase of the random field component are proposed. These algorithms are obtained on the basis of the probabilistic vector model as a sum of regular and random components of the electromagnetic field and on analysis of the most important properties of the signal fluctuations in the ionospheric radio channels.
Adaptive-Statistical Methods for Control of Complicated Calculation Processes
84-92
Oleg Yu.
Kulchitskiy
St.Petersburg State Technical University, Russia
Vladimir M.
Ivanov
Institute of International Educational Programms, St. Petersburg, Russia
Dmitriy G.
Arsenyev
Institute of International Educational Programms, St. Petersburg, Russia
The adaptive numerical approach for solution of problems about control of grid numerical processes is applied. This approach is based on the introduction of function of distribution density for mesh points instead of individual determinate way of their arrangement. Formulas for the functional, which characterizes calculation errors, are obtained for this statement. This functional is applied for construction of adaptive-optimal controls on arrangement mesh points for the calculation sequential algorithm. The approach developed in this article disseminates ideas of aggregation of statistic mechanics onto the new class of multiple element systems, i.e., the grid numerical processes with great number of mesh points.
Microprocessor System of Automatic Control with the Direct Digital Control for Asynchronous Two-phase Actuating Motor
93-97
Nikolay N.
Prisyazhnyuk
National Scientific Research Center of Defence Technologies and Military Security, Kyiv
The microprocessor system of automatic control with the unit of direct digital control for the asynchronous actuating motor is described. The functional and circuit diagrams for controlling (low-current) and power parts of the system are given. It is shown the potential of realization of diverse structure schemes of automatic control systems for the given practical system.