Quantum computing in intelligent robust control system design for 7 degrees of freedom redundant robot-manipulator
The problems of designing control systems using soft and quantum computing on the example of complex con-trol object (redundant 7 degrees of freedom manipulator) are described. A self -organization strategy for a knowledge base of 
 one-type fuzzy controllers using quantum computing technologies is considered. Application of intelligent computing and 
 quantum self-organization algorithm allows reaching control purpose in unexpected situations. It it reached due to i mproving 
 robustness level of intelligent control system in the problem-oriented field. An important result of intelligent control systems 
 design is a possibility of implementing quantum algorithms and quantum computing in typical (not hybrid quantum) defau lt 
 configuration hardware processor for robot manipulator as the control object. Quantum language description of most classical 
 (semistructured and difficult to solve using classical logic) engineering tasks allows finding an effective solution. Positive re-sult of intelligent soft computing technologies application based on quantum computing toolkit led to a new alternative a p-proach. It is using intelligent quantum computing technologies in tasks of control optimization.
 The paper shows the efficiency of designed intelligent control systems using soft and quantum computing technologies. 
 To estimate control systems work the authors introduce a set of performance criteria. This set is adjusted to concerned contr ol 
 object (7 degrees of freedom robot manipulator) according to required accuracy characteristics.
 A particular focus is on robot manipulator behavior that is controlled by proposed intelligent control systems in une x-pected situations connected with internal noise in complex control object.