Planning complex flight missions for a group of intelligent unmanned aerial vehicles

A comparative analysis of parallel and pipeline methods of performing complex flight missions by groups of intelligent unmanned aerial vehicles has been carried out, which allows determining the most effective way of its implementation according to the criteria of minimum time and limited functionality of onboard computers. A model of knowledge representation is proposed irrespective of a specific subject area, which provides the possibility of planning purposeful behavior in a priori undescribed conditions of the problem environment. Procedures for processing knowledge and finding solutions by using semantic networks have been developed that allow planning purposeful behavior of intelligent unmanned aerial vehicles in the process of solving various subtasks of a complex flight task with polynomial complexity.