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- W2123603030 abstract "In this paper, the model-free learning adaptive control(MFLAC) approach is applied to permanent magnet linear motor speed and position control, it is based on linearization of tight format of a class of SISO nonlinear discrete-time systems. The design is model-free, based directly on pseudo-partial-derivatives (PPD) on-line from the input and output information of the system using a novel parameter estimation algorithm. Validity and stability are proved for nonlinear systems with vaguely known dynamics by the simulation examples." @default.
- W2123603030 created "2016-06-24" @default.
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- W2123603030 date "2008-07-01" @default.
- W2123603030 modified "2023-10-06" @default.
- W2123603030 title "Study on model-free learning adaptive control in permanent magnet linear motor" @default.
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- W2123603030 doi "https://doi.org/10.1109/ccdc.2008.4597864" @default.
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