An iterative learning controller based on model predictive control is proposed to track the desired trajectory for a class of repetitive system with nonrepetitive disturbances. The iterative learning controller is used to repetitive process as feed-forward. Based on the temporal model of tracking error, the model predictive control is applied to improve the tracking performance along the time domain for controlling the current stochastic disturbances. In order to restrain the repetitive disturbances, the P-type iterative learning controller is introduced along the iteration index. The simulation results demonstrate the feasibility and effectiveness of the presented method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Design of iterative learning controller based on model prediction control


    Contributors:
    Jing Ma, (author) / Shuchen Li, (author) / Chunyan Zhai, (author) / Jun Xiao, (author)


    Publication date :

    2006-01-01


    Size :

    815097 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Hybrid Iterative Learning Controller-Based Fractional-Order Predictive PI Controller

    Panneer Selvam, Arun Mozhi Devan / Hussin, Fawnizu Azmadi / Ibrahim, Rosdiazli et al. | Springer Verlag | 2022


    Iterative Learning Control Design

    Wu, Guanglei | Springer Verlag | 2025


    Iterative Learning Controller Design Based on LPV H~∞ Feedback for Robotic Manipulator

    Zhongwei, Y. / Huitang, C. / Yuejuan, W. | British Library Online Contents | 2001


    Reduced-Order Controller Design via Iterative Identification and Control

    Sala, A. / Esparza, A. | British Library Online Contents | 2003


    Design of Robust Iterative-Learning-Control Systems Based on Two-Dimensional Model

    Zhou, L. / She, J. / Zhu, S. | British Library Online Contents | 2012