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Stabilization of Impulse Processes of the Cognitive Map of Cryptocurrency Usage with Multirate Sampling and Coordination Between Some Nodes Parameters

·115 words·1 min
Heorhii Kantsedal
Viktor Romanenko
Yurii Miliavskyi
Cryptocurrency Cognitive Map Multirate Sampling Control Subsystem Optimality Criteria

Abstract
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In this paper, based on the cognitive map (CM) of cryptocurrency usage in financial markets, developed by Romanenko et al., models of impulse processes with multirate sampling are applied to describe the dynamics of fast and slow measurable coordinates of the CM nodes in the form of systems of difference equations (Roberts equations). Control subsystems with multirate sampling for the fast and slow measurable node coordinates are developed to stabilize them at given levels under the effect of random disturbances. External disturbances include various informational influences that affect the cryptocurrency application system, while mutual influences of related subsystems of CM impulse processes are classified as internal disturbances.

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