Synthesis of Sliding Mode Control of Robot with Neural Network Model
نویسندگان
چکیده
A synthesis of sliding mode control for a robot arm based on a robot model identified by neural networks is presented. The proposed structural feed-forward neural networks estimate the elements of the Lagrange-Euler mathematical model of robot, and they can be directly used for a synthesis of a model-based control system.
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