Neural network position tracking control of an inverted pendulum an X-Y table robot

摘要

In this paper, decentralized neural network control of the reference compensation technique is applied to control a 2-DOF inverted pendulum on an x-y plane. The cart with an inverted pendulum moves on the x-y plane by the x-y plane by the x-y table robot