Abstract
The article proposes a method based on the use of logical dynamic systems in the classification problem for Boolean vectors (binary feature vectors). This method has practical application in various fields of science and industry, in particular, socionics, geology, mechanical engineering, and others. Binary synchronous autonomous linear and nonlinear dynamic models with an unknown characteristic matrix are considered. Matrix elements are chosen the way that these binary feature vectors are equilibrium states of the binary dynamic model. The areas of attraction of equilibrium states act as classes. One reference vector corresponds to each class. The classification process consists of constructing trajectories of a logical-dynamic system with a given initial state. It aims to verify the reachability of one of the equilibrium states. A meaningful example of the proposed method is considered.
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