Self-Organization Principle and Robust Wise Control Design based on Quantum Fuzzy Inference

This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of fuzzy controllers by supplying its a selforganizing capability. It is demonstrated that fuzzy controllers prepared to maintain control objects 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 generalization of strategies in fuzzy inference from a set of pre-defined fuzzy controllers by a new Quantum Fuzzy Inference based systems. We stress our attention on the robustness features of intelligent control systems. Benchmark simulations of robust intelligent control based on a new Quantum Fuzzy Inference for globally unstable essentially non-linear dynamic system are considered. Based on the simulation results with Quantum Fuzzy Inference a new design principle “Simple wise control of complex control objects” is introduced and demonstrated.