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Použití LWR kompenzátoru pro řízení aktivního magnetického ložiska
 Březina, Tomáš ; Pulchart, J. ; Krejsa, Jiří
The active magnetic bearing (AMB) control is a complex problem, as it is fast, unstable and nonlinear system. The contribution deals with the simulation verification of AMB control using conventional PSD controller with nonlinear forward compensator. The automated universal approximator based on locally weighted learning (namely Receptive Field Weighted Regression - RFWR method) is used as the compensator.
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