掺杂铁电纳米粉的液晶的电光特性

铁电纳米粒子悬浮在向列相液晶母体中，增强介电各向异性，而且对施加的电场信号敏感。本文也展示了纳米粒子对所述复合材料可实现的总的相变的作用。这种方法也许可应用于设计新型显示材料。     

Adaptive Control of Process Units at JSC OEMK Named after A. A. Ugarov Based on Neural Network for Tuning Controller Parameters

Metallurgist - The development and implementation of adaptive control systems, which are used to tune the parameters of PI-controllers of the metal pre-heating furnace for rolling and the water-air...     

Rate of free-energy change upon the motion of an interphase boundary

The rate of a free-energy decrease upon the motion of a planar interface between two phases of a binary solid solution has been studied. A general expression for this rate in such a system has been obtained; it has been shown that the expression can be divided into two parts, one of which is determined by the processes at the interface and the other, by diffusion processes occurring inside the bulk of the phases. For the case of dilute solutions, analytical expressions have been obtained for each of the terms with the use of characteristic times that describe the processes of atomic transitions through the interface. Numerical calculations of the time dependence of both terms have been performed; in the limiting cases of long and short times, the corresponding expressions were found explicitly.     

Unknown piecewise constant parameters identification with exponential rate of convergence

The scope of this research is the identification of unknown piecewise constant parameters of linear regression equation under the finite excitation condition. Compared to the known methods, to make the computational burden lower, only one model to identify all switching states of the regression is used in the developed procedure with the following two-fold contribution. First of all, we propose a new truly online estimation algorithm based on a well-known DREM approach to detect switching time and preserve time alertness with adjustable detection delay. Second, despite the fact that a switching signal function is unknown, the adaptive law is derived that provides global exponential convergence of the regression parameters estimates to their true values in case the regressor is finitely exciting somewhere inside the time interval between two consecutive parameters switches. The robustness of the proposed identification procedure to the influence of external disturbances is analytically proved. Its effectiveness is demonstrated via numerical experiments, in which both abstract regressions and a second-order plant model are used.     

Deforming Devices with a Power Drive Made of a Material with a Shape Memory Effect. Design Solutions,Calculation and Design Procedure

Russian Journal of Non-Ferrous Metals - The article presents technical solutions for the creation of deforming devices with a power drive made of a material with a shape memory effect. As an...     

Robust method to provide exponential convergence of model parameters solving linear time-invariant plant identification problem

The scope of this research is a problem of parameters identification of a linear time-invariant plant, which (1) input signal is not frequency-rich, (2) is subjected to initial conditions and external disturbances. The memory regressor extension (MRE) scheme, in which a specially derived differential equation is used as a filter, is applied to solve the above-stated problem. Such a filter allows us to obtain a bounded regressor value, for which a condition of the initial excitation (IE) is met. Using the MRE scheme, the recursive least-squares method with the forgetting factor is used to derive an adaptation law. The following properties have been proved for the proposed approach. If the IE condition is met, then: (1) the parameter error of identification is bounded and converges to zero exponentially (if there are no external disturbances) or to a set (in the case of them) with an adjustable rate, (2) the parameters adaptation rate is a finite value. The above-mentioned properties are mathematically proved and demonstrated via simulation experiments.     

Mathematical model of security of the information circulating in the open optical data link channel

The analysis of probability of erroneous reception of one binary code are lead for transfer of the information to the open optical data links, including IR-keyboards. Theoretical estimations for maximum permissible values of the attitude a signal/noise are received.     

Using hybrid neural networks in a problem of adaptive testing

In the paper, we studied specific features of adaptive testing implementation by means of different methods for the purpose of increasing an objective character of results of such tests and decreasing labor-intensiveness of their creation. We chosen an optimal structure for a hybrid neural network.