Design technology of robust KB for integrated fuzzy intelligent control based on quantum fuzzy inference: Inverted pendulum as benchmark of quantum fuzzy control in unpredicted control situations
نویسنده
چکیده
Toolkit applications as Quantum Fuzzy Modeling System (QFMS) and SW-support of robust Integrated Fuzzy Intelligent Control System (IFICS) design in unpredicted control situations are discussed from Intelligent System of System Engineering (SoSE) viewpoint. Design process of quantum control algorithms is based on Quantum Fuzzy Inference (QFI) model. QFI is a new quantum algorithm (QA) that based on combination of corresponding unitary quantum operators. QFI supports the self-organization process in design technology of robust KB. From viewpoint of computer science, QA of QFI model plays the role of the information-algorithmic and SW-platform support of self-organization design process. From viewpoint of physical background of global robustness effect in advanced control systems, QFI supports optimal thermodynamic trade-off between stability, controllability and robustness in self-organization process of many parts of integrated control system. The dominant role of self-organization in robust knowledge base (KB) design of intelligent fuzzy controllers (FC) for unpredicted control situations is demonstrated. Structure of SW-support as QFI tool is described. Effectiveness of QMS is demonstrated with Benchmark simulation results. Application of QFI to design of robust KB in fuzzy PID-controller is showed on example of robust behavior design in global unstable non-linear control objects. Quantum fuzzy controller (QFC) based on QFI is showed the increasing robustness in complex unpredicted control situations. In this case surprisingly that robust QFC is designed from three fuzzy controllers that are non-robust in unpredicted control situation. It is new effect in design of advanced control and in design technology of intelligent control system.
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