Quantum “strong” computational AI - control of unmanned air vehicle of multi-copter type: knowledgebase optimizations on quantum soft computing technology

The possibilities of application an intelligent control system (ISU) for an unmanned aerial vehicle (UAV) are considered. The stages of designing an embedded ICU based on quantum and soft computing technology are presented in detail. In particular, the possibility of training a real UAV with a built-in genetic algorithm is described, and options for using mathematical modeling to extract a training signal are disclosed. Special attention is paid to software tools - "Knowledge base Optimizers based on soft and quantum computing", which are used to design embedded self-organizing quantum information systems in unpredicted control situations. The effects obtained through the use of quantum self-organizing controllers embedded in the control feedback loop of the ICU are presented. The quantum advantage and superiority of ICS over classical and fuzzy control systems is demonstrated.