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Fuzzy Quantum Control

The article presents a method of fuzzy quantum control and the structure of a fuzzy quantum controller. The authors suggest a method to represent the membership function of fuzzy variables as quantum values. A fuzzy quantum controller calculates the parameters for the optimum control of a quantum system on the basis of dynamic programming. The control task is the transfer of the system from its initial state into a required final state with a set merit functional. At the setting of the fuzzy quantum controller the authors use expert data. The input variable is transformed into fuzzy values and the membership functions are created. The membership functions are represented as quantum values. Further, the controlled system equation is derived. The authors set up a merit functional for optimal regulation and apply the optimal control method. The authors present a circuit to connect the fuzzy quantum controller to a control system.