At the plant level, a smart grid unifies power grids, consumers and generating facilities in a single automated system which enables real-time tracking and monitoring the regimes of all participants. It responds automatically to the changes of all parameters in the power grid and maintains no-break power with maximum benefits and lower human involvement. The most effective control can be attained in smart grids by using intelligent agents. Their functionalities should be based on intelligent control algorithms with predictive models featuring high-precision treatment of process knowledge and adaptive learning. This chapter offers a concept of developing an intelligent multi-agent system that maintains stability of Russia’s Smart Grid incorporating an active analytical network (AAN) and new algorithms to determine the degree of the system’s stability by using Gramians.

For more efficient knowledge exploration and searching for relevant information on the Internet, it is worthwhile to take the level of expertise of the authors of papers and materials into account and assess the reliability of sources. A measure is proposed to assess the level of expertise of authors, which takes the occurrence of relevant ideas and phrases in a text into account. The proposed measure also considers the independence of authors that refer to a particular paper and the chronological characteristics of published works.

We consider a new signal processing method for the difference frequency of an FM microwave distance sensor, based on a sinusoidal signal model with three independent parameters – amplitude, frequency, and phase, which avoids the discretization error in spectral processing. Keywords: radiowave sensor, frequency modulation, ultra-high frequencies, oscillator, antenna, level meter.

A comparatively new trend in processing signals, involving a continuous wavelet transformation, is considered. Its advantage compared with the Fourier transformation in determining the frequency components of a time-limited signal, observed at the output of a radio-wave sensor with frequency modulation, is pointed out. Keywords: continuous wavelet transformation, frequency modulation, radio-wave sensor.

Abstract—Proposed were algorithms implementing the method of randomization for the digital measurement of the resonance frequency using the frequency or amplitude modulation of the frequency synthesizer output by a random signal. Formulas were obtained for systematic and random error of these algorithms. Numerical study of the randomization method was carried out using a model of the sensing element of the resonance detection device. The algorithm of one-dimensional frequency randomization was shown to demonstrate the best metrological parameters.