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- W2733521776 abstract "In this paper, the hybrid position and force control problem is studied for a class of planar two-link constrained flexible link manipulators. An adaptive fuzzy genetic learning algorithm is proposed to update the parameters of the controller, and to control the tip position and the contact force so as to enhance the control precision and improve the robustness of the systems. Simulation results show that this newly presented control scheme is of very good performances." @default.
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- W2733521776 date "1999-07-01" @default.
- W2733521776 modified "2023-09-28" @default.
- W2733521776 title "Adaptive fuzzy genetic learning algorithm for the hybrid position / force control of constrained flexible-link robotic manipulators" @default.
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- W2733521776 doi "https://doi.org/10.1016/s1474-6670(17)56108-x" @default.
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