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This Chapter describes a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of hybrid intelligent fuzzy controllers by supplying a self-organizing capability. Main ideas of selforganization processes are discussed that are the background for robust knowledge base (KB) design. Principles and physical model examples of self-organization are described. Main quantum operators and general structure of quantum control algorithm of selforganization are introduced. It is demonstrated that fuzzy controllers (FC) prepared to maintain control object (CO) 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 FCs by new Quantum Fuzzy Inference (QFI) based systems. The latter is a new quantum algorithm (QA) in quantum computing without entanglement. A new structure of intelligent control system (ICS) with a quantum KB self-organization based on QFI is suggested. Robustness of control is the background for support the reliability of advanced control accuracy in uncertainty environments. We stress our attention on the robustness features of ICS’s with the effective simulation of Benchmarks.

Self-Organized Intelligent Robust Control Based on Quantum Fuzzy Inference