In the class of linear algorithms of linear stationary multi-connected plants control the subclass is distinguished of quasi-terminal algorithms with implicit aiming at the boundary conditions moving along the program of the required change of the state vector coordinates and being at a xed interval from the current time. Aiming is realized by calculating the programs of changing the future control vector components in the form of power series segments that depend on the future time and provide a solution of the two-point boundary value problem. In idealized model conditions of the complete controllability and the availability of an accurate information about the control plant state and equations, as well as of the instantaneous and accurate implementation of the calculated commands, the quasi-terminal algorithm provides the asymptotic stability of a closed multi-connected system and as high pre-set rate of transients convergence as needed, regardless of whether the control plant model is stable. The relatively simple and easy to implement in MATLAB non-optimization method of algorithm synthesis is suggested based on the use of the matrix representation of the control plant model in the state space and of the apparatus of exponential functions of matrices. Quasi-terminal algorithms can be used in multiconnected stabilization systems and, in particular, in stabilization systems of mobile terminal plants with respect to trajectories calculated by the terminal control system.

Terminal invariance sufficient conditions for nonlinear dynamical stochastic controllable systems of diffusion-jump type are proposed. These conditions have no analogues in the world literature. Both perturbation invariance conditions (for a fixed initial point) and absolute invariance conditions (ensuring that the terminal criterion takes a constant value for any initial data) are formulated.

A novel non-parametric method for mutual information estimation is presented. The method is suited for informative feature selection in classification and regression problems. Performance of the method is demonstrated on problem of stable short peptide classification.

Energy consumption reduction is of utmost importance for Internet of Things devices. This pertains especially to wireless sensor networks that have to run uninterruptedly for long periods of time, such as jerks and oscillation measurement systems used for earthquake registration or large building vibration monitoring. In these systems electronic data processing equipment is abundant. Lowering of the operating current and voltage in electronic equipment tends as a rule to increase the processing error. It is true particularly of the scaling amplifiers widely used in the course of data processing for preamplification of weak signals from analog sensors. In this paper, we propose an efficient method and corresponding circuit design for reproduction error suppression in scaling amplifier by the additional feedback loop. The implementation of additive negative feedback by error signal supports substantial total scaling error reduction. Experiments and simulation carried out demonstrated manifold error reduction by the proposed structure.

В современном мире никто уже не спорит, что для того чтобы быть успешным, нужно уметь общаться в контексте достижения личных и профессиональных целей. О мастерстве общения на сегодняшний день написано немало. Данный учебник также затрагивает данную тематику, раскрывая ее системно. Он посвящен тому, как эффективно общаться с самим собой, с бизнес-системой, с близкими людьми и коллегами, с представителями разных культур в неформальном и деловом ключе. Не обойдена вниманием и такая важная составляющая современной жизни, как общение в сети Интернет через специфические коммуникационные технологии и инструменты. Авторы искренне надеются, что учебник будет интересен широкому кругу читателей.