Botchkaryov O. Organization of adaptive measuring and computing processes in autonomous distributed systems

In the thesis, the scientific task of developing new methods of organizing adaptive measuring and computing processes in autonomous distributed systems on the basis of the principles of decentralization and self-organization has been solved. A method of structural adaptation of measuring and computing processes based on machine learning has been developed, which provides a more efficient distribution of measuring and computing resources, higher reliability and survivability of information collection subsystems of autonomous distributed systems. A method has been developed for coordinating adaptive measuring and computing processes based on information interaction deferred in time in a distributed coordination space. A method of decentralized control of adaptive measuring and computing processes is developed on the basis of the principle of balancing and reinforcement learning supported by the method of normalized exponential function. The method of functional coordination of methods for organizing adaptive measuring and computing processes and methods of spatial self-organization of mobile measuring agents has been improved.