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• W1519905784 abstract "An iterative uncertainty modelling and μ-synthesis method is presented for LTI systems. In many robust control problems with complex dynamical systems, there is no a priori information for designing a nonconservative and viable representation of the uncertainty. The goal of this paper is to provide a practical numerical method for improving the robust performance of the controlled system by designing an appropriate uncertainty model and a controller. In the proposed iterative algorithm the controller is designed by mu-synthesis and the frequency-dependent norm-bounds of the uncertainties are tuned to minimize the structured singular value with model validation constraints. Since the uncertainty model depends on the quality of the input-output measurements, therefore closed-loop experiments are involved in the iteration in order to improve the set of validation constraints. The efficiency of the method is justified by the simulation example of a vehicle steering problem." @default.
• W1519905784 created "2016-06-24" @default.
• W1519905784 creator A5089528635 @default.
• W1519905784 date "2009-08-01" @default.
• W1519905784 modified "2023-09-27" @default.
• W1519905784 title "Iterative design of uncertainty models and robust controllers based on experiment data" @default.
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• W1519905784 doi "https://doi.org/10.23919/ecc.2009.7074502" @default.
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