Iterative learning control (ILC) Arimoto et al. 1984 was originally proposed as an intelligent learning mechanism for robot manipulators. Many ILC methods have been developed and widely applied to achieve perfect tracking performance by repeating the tracking task with learning. In general, the ILC methods can be classified into three categories according to the design and analysis methods, i.e., contraction mapping (CM)-based ILC (CM-ILC), composite energy function (CEF)-based ILC (CEF-ILC), and normal optimization-based ILC (NOILC).


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    Title :

    Compact Form Iterative Dynamic Linearation Based DDILC


    Additional title:

    Intelligent Control & Learning Systems


    Contributors:
    Chi, Ronghu (author) / Hui, Yu (author) / Hou, Zhongsheng (author)


    Publication date :

    2022-11-16


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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