Cognitive intelligent robust control system based on quantum fuzzy inference for robotics and mechatronics

Abstract

A quantum self-organization synergetic effect extracted from intelligent fuzzy controller's knowledge database is described. Aforementioned technology improves a robustness of intelligent control systems in unpredicted control situations. A number of examples demonstrate the possibility of neurointerface application based on cognitive helmet with a quantum fuzzy controller for a vehicle driving. As the example of robots interaction technologies of knowledge databases remote tuning and knowledge transfer are considered.