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- W7660662 abstract "This chapter presents the application of neural networks to robot manipulator control. The main methodologies, on which the approach is based, are recurrent neural networks and the recent introduced technique of inverse optimal control for nonlinear systems. The proposed controller structure is composed of a neural identifier and a control law defined by using the inverse optimal control approach. The proposed new control scheme is applied via simulations to control a robot manipulator model where friction terms are included." @default.
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- W7660662 date "2004-01-01" @default.
- W7660662 modified "2023-09-27" @default.
- W7660662 title "Robot Manipulator Control via Recurrent Neural Networks" @default.
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- W7660662 doi "https://doi.org/10.1007/978-3-540-39935-3_20" @default.
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