Quantum self-organized intelligent controller in robotics: quantum fuzzy inference with embedded quantum genetic algorithm

In control tasks, maintaining the robustness property of a complex weakly structured control object (CO) through the intelligent control systems (ICS) and intelligent computing technologies using is necessary to achieve the goals in conditions of risk and unpredictable (or abnormal) control situations. From an algorithmic view point, an effective solution for the actual issue of ensuring the stable OC functioning under conditions of uncertainty and also ICS robustness maintaining, means that the following necessary and sufficient (antagonistic in general case) conditions to the control goals achieving in the used control algorithm’s, should be satisfied: 1) a minimum of external environment initial information (or disturbance on CO acting); 2) the minimum consumption of the generalized useful resources in the CO and ICS. The application of quantum search algorithms in ICS, i.e. in systems that are able to function in unpredictable situations with guaranteed achievement of the control goal (robustness property) is considered. The intelligent technology (IT) design of robust knowledge bases (KB) with using quantum effects of self-organization under contingencies of unpredictable control situations and risk is developed. The principles of construction, the structuration and practical application of the developed IT for the robust KB design in ICS which is effectively and reliably functioning in the conditions of risk and unpredictable situations based on the self-organization KB model are described. The result of this development is consisting in guaranteed ensuring of the control goal achievement for unpredictable (abnormal) real-time control situations, as a consequence of a quantum genetic algorithm (QGA) control application in the self-organizing ICS structure. An example of the robust self-organization KB effective modeling in an ICS for a dynamically unstable and essentially nonlinear CO is presented.