Linear repetitive learning controls for nonlinear systems by Padé approximants-Reference-Cited by-同舟云学术

Linear repetitive learning controls for nonlinear systems by Padé approximants

Published:2014-08-04 Issue:6 Volume:29 Page:783-804
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int. J. Adapt. Control Signal Process.

Author:

Tomei P.¹,Verrelli C. M.¹

Affiliation:

1. Dipartimento di Ingegneria Elettronica; Università degli Studi di Roma ‘Tor Vergata’ Via del Politecnico 1; 00133 Rome Italy

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Reference30 articles.

1. Iterative learning control: brief survey and categorization;Ahn;IEEE Transactions on Systems, Man, and Cybernetics, C,2007

2. Establishing improved convergence properties for the repetitive learning control;Bifaretti;Applied Mathematics and Computation,2012

3. A survey of iterative learning control;Bristow;IEEE Control Systems Magazine

4. Cugliari M Marino R Tomei P Verrelli CM Global learning controls for uncertain relative degree one linear systems: a comparative study St. Louis, Missouri 1628 1633

5. Repetitive learning control: a Lyapunov-based approach;Dixon;IEEE Transactions on Systems, Man, and Cybernetics,2002

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning control for body caudal undulation with soft sensory feedback;Frontiers in Sensors;2024-04-24

2. Improving Track Performance by Combining Padé-Approximation-Based Preview Repetitive Control and Equivalent-Input-Disturbance;Journal of Electrical Engineering & Technology;2024-02-25

3. Repetitive Learning Control for Body Caudal Undulation with Soft Sensory Feedback;2024-01-15

4. Comparison Between Different Continuous-Time Realizations Based on the tau Method of a Nonlinear Repetitive Control Scheme;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

5. PI-generalizing saturated repetitive learning control for a class of nonlinear uncertain systems: Robustness w.r.t. relative degree zero or one;Systems & Control Letters;2022-06