Self-Organization of robust intelligent controller using quantum fuzzy inference

This report describes a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of hybrid intelligent controllers by supplying a self-organizing capability. It is demonstrated that fuzzy controllers prepared to maintain control object in the prescribed conditions are often fail to control when such a conditions are dramatically changed. We propose the solution of such kind of problems by introducing a quantum generalization of strategies in fuzzy inference in on-line from a set of pre-defined fuzzy controllers by new quantum fuzzy inference based systems. The latter is a new quantum algorithm in quantum computation without entanglement. We stress our attention on the robustness features of intelligent control systems with the effective simulation of Benchmark.