The possibilities of assessing the integration processes in agro-industrial complex are considered. Preference is given to the study of the influence of network research structures for obtaining, processing and transformation of information. The necessity of development of system recommendations taking into account theoretical achievements and analytical studies based on network analysis and the concept of entropy is indicated. The main directions in the study of integration processes based on the construction and analysis of network structures are briefly considered. The main attention is paid to the entropy approach of evaluation of integration processes. Interpretations of the measure of information uncertainty (entropy) are proposed in order to perform network analysis. Among the preferred models to determine the amount of entropy, the following are proposed: K. Shannon’s measure of uncertainty; cross-entropy and Kullback-Leibler divergence.
The article suggests a method of transition from continuous models of automatic control systems (ACS) to discrete ones, based on the application of quadrature formulas. This makes it possible to obtain a model of ACS in the form of a system of linear algebraic equations instead of differential equations. The result of this solution is the discrete values of the ACS state coordinates. That allows one to reduce the expenses of microprocessor time on that part of algorithm of the task which is responsible for the process of calculation of a system condition. The state of the control object and the control law are stored in the controller memory in the form of numeric arrays which is rational when transferring to the digital control of continuous ACS.
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