Incorporation of experience in iterative learning controllers using locally weighted learning. (English) Zbl 0987.93031

The authors aim to propose a new iterative learning control scheme. They wish to incorporate the experience that the iterative learning controller gains while tracking previous trajectories in order to track new desired ones. The planned advantage of their approach lies in reducing initial errors when the convergence rate is unchanged. Some ideas and particular examples of how to do this, together with numerical illustrations, are provided.


93B51 Design techniques (robust design, computer-aided design, etc.)
93C41 Control/observation systems with incomplete information
68T05 Learning and adaptive systems in artificial intelligence
Full Text: DOI


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