On the fractal theory application in adaptive population methods of formation of dynamical groups of unmanned aerial vehicles and in processing of incoming information in respect to its effective application theory

Abstract

Solution of complicated complex problems is possible only as a result of group application of unmanned aerial vehicles (UAV). Approaches to studying game-theoretical problems of the information confrontation have been given in the framework of stochastic control models. This is about organization of “distributed intelligence” and collective interactions of UAVs in group, designing assets of informational exchange and forming distributed data bases and knowledge bases, designing methods and algorithms of group decision-making and adaptive control in conditions of dynamically changing natural environment. Distributed control systems with minimization of information exchange between group UAVs have been considered as well. An important role is allocated to modern methods of images processing and patterns recognition. A task of detecting objects including stealthy ones at fuzzy images which are obtained from UAV has been considered. As before the investigation is conducted within the framework of fractal-scaling thresholding including an adaptive threshold. Fractal approaches to solution of such problems at every stage of processing and realization of incoming information have been proposed in the work.