Fuzzy Cognitive Control System of Autonomous Vehicle: Brain Neurointerface and Soft Computing Modes

The article show the possibility of neurointerface application based on cognitive helmet with different traditional types of controllers for the vehicle driving. Extraction of knowledge from electroencephalogram based on knowledge base soft computing optimizer demonstrated. The commonly application of computational intelligence and cognitive toolkits improve the reliability of fuzzy control system operations.