Self-organization Robust Knowledge Base Design for Fuzzy Controllers in Unpredicted Control Situations Based on Quantum Fuzzy Inference

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. 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 is described. 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 is proposed by a new quantum fuzzy inference based systems. The latter is a new quantum algorithm in quantum computing without entanglement. Our attention on the robustness features of intelligent control systems with the effective simulation of Benchmarks is stressed.