Advanced Iterative Learning Controllers for Robotic Systems
نویسنده
چکیده
In this paper it is proposed an extended memory iterative learning technique. The knowledge of the iterative learning controller can be built by using the previous tasks of the iterative learning controller in tracking various desired trajectories in terms of a database of input and output data. For a new desired trajectory, iterative learning controller can predict the initial control input from this database and the tracking error converges to an acceptable level in less number of iterations.
منابع مشابه
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