Abstract
A predicate model of process knowledge about the observed objects in multichannel intelligent monitoring systems, methods of intellectual analysis of processes, and a decision-making method based on precedents are proposed. The main features and structural elements of the process knowledge model are presented. It is shown that the advantages of this model are related to the configuration and hierarchical representation of the process for detecting and recognizing moving objects based on the intelligent analysis of signals using the algebra of finite predicates. It is shown how this approach can be used to automate the process of detecting and recognizing airborne objects, which can be in both flight and rest mode.
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