Cognitive robust control system based on quantum fuzzy inference algorithm in unconventional intelligent robotics

Strategy of intelligent cognitive control systems based on quantum and soft computing described. Quantum self-organization knowledge base synergetic effect extracted from intelligent fuzzy controller's imperfect knowledge bases demonstrated. That technology improved of robustness of intelligent cognitive control systems in hazard control situations described with the cognitive neuro-interface and different types of robot cooperation. Examples demonstrated the introduction of quantum fuzzy inference gate design as prepared programmable algorithmic solution for board embedded control systems. The possibility of neuro-interface application based on cognitive helmet with quantum fuzzy controller for driving of the vehicle is shown.