Error state controller for robotic manipulator

In this paper, an error state controller based on a nonlinear inverse model and an error model is presented. By introducing some auxiliary signals and special matrices the resulting error state equations become linear and decoupled. An optimal error state control input can be determined which minimizes the N-step performance criterion. The simulation results show that this scheme guarantees that the robot performs exactly the same motions as predicted by the designated trajectory.<
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