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• W2482067891 abstract "Feedforward control enables high performance of a motion system. Recently, algorithms have been proposed that eliminate bias errors in tuning the parameters of a feedforward controller. The aim of this paper is to develop a new algorithm that combines unbiased parameter estimates with optimal accuracy in terms of variance. A simulation study is presented to illustrate the poor accuracy properties of pre-existing algorithms compared to the proposed approach. Experimental results obtained on an industrial nanopositioning system confirm the practical relevance of the proposed method." @default.
• W2482067891 created "2016-08-23" @default.
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• W2482067891 date "2016-09-08" @default.
• W2482067891 modified "2023-09-23" @default.
• W2482067891 title "Enhancing feedforward controller tuning via instrumental variables: with application to nanopositioning" @default.
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• W2482067891 doi "https://doi.org/10.1080/00207179.2016.1219921" @default.
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