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• W2373177864 abstract "In this paper,we discuss the problem of designing two feedback controllers for an unknown plant based on input-output measurements in a linear setting.The virtual reference feedback tuning is used to design controller.No model identification of the plant is needed.When constructing the cost function,we consider model-matching problems between closed loop transfer function and sensitivity function simultaneously.In model-matching procedures,we analysis how to design the virtual input and disturb respectively and derive a filter expression used to filter measurement data.A controller validation test aiming at attain the closed-loop stability before the designed controller is applied to the plant.To the parameter optimization problem,we analyze the iterative sequence generated by the iterative least square identification algorithm.Furthermore we derive the approximation relation expression between the iterative sequence and global optimum value.Based on this approximation relation expression,we evaluate the algorithm's convergence property and velocity.Finally the simulation example results confirm the theoretical results." @default.
• W2373177864 created "2016-06-24" @default.
• W2373177864 creator A5020684462 @default.
• W2373177864 date "2014-01-01" @default.
• W2373177864 modified "2023-09-26" @default.
• W2373177864 title "Virtual reference feedback tuning control and iterative minimization identification in closed-loop system" @default.
• W2373177864 hasPublicationYear "2014" @default.
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