Please use this identifier to cite or link to this item: https://doi.org/10.1109/9.701122
Title: Direct learning of control efforts for trajectories with different time scales
Authors: Xu, J.-X. 
Keywords: Direct learning control
Nonidentical time scales
Nonrepeatable learning
Issue Date: 1998
Source: Xu, J.-X. (1998). Direct learning of control efforts for trajectories with different time scales. IEEE Transactions on Automatic Control 43 (7) : 1027-1030. ScholarBank@NUS Repository. https://doi.org/10.1109/9.701122
Abstract: In this paper, we introduce a new learning control method, direct learning control, which is defined as the generation of the desired control input profile directly from existing control input profiles without any repeated learning. The motivation of developing direct learning control schemes is to overcome the limitation of conventional learning control methods which require that the desired tracking patterns (trajectories) be strictly identical (repeatable) throughout the learning process. There are two main advantages of the direct learning control method. The first is that the learning control system is capable of fully utilizing the prestored control input signals which may correspond to tracking patterns with different time scales and be achieved through various control approaches. The second is the direct generation of the desired control input profile; thereafter it is possible to remove the whole iterative learning process. The focus of this paper is on direct learning of a class of nonperiodic trajectories which are identical in spatial distribution but different in time scales.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/62048
ISSN: 00189286
DOI: 10.1109/9.701122
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