Decision support system for automated control

This article examines the general principles of constructing a decision support system for controlling an unmanned aerial vehicle (UAV) from a ground control station based on measurements and assessment of the technical condition of the UAV's onboard systems. An analysis of current methods for solving such problems is provided, and the use of algorithmic solutions based on stochastic mathematical models of the processes of change in variables characterizing the UAV's technical condition is substantiated. General differential equations describing the evolution of the system under consideration are presented, derived from the theory of systems with random structure changes. A block diagram characterizing the general principles of solving the problem of probabilistic assessment of the system's technical condition is presented, based on which a discrete algorithm for solving the problem of optimal filtering and identification of the operating mode with monitoring process control is derived. An example of solving the problem for simple mathematical models of the process of change in a technical parameter and its measuring device is given, clearly demonstrating the operability of the proposed algorithm.

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