Neural network-based iterative learning control for trajectory tracking of unknown SISO nonlinear systems-Reference-Cited by-同舟云学术

Neural network-based iterative learning control for trajectory tracking of unknown SISO nonlinear systems

Published:2023-12 Issue: Volume:232 Page:120863
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Shi Qingyu^ORCID,Huang Xia^ORCID,Meng Bo^ORCID,Wang Zhen^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. RBF-neural-network-based adaptive robust control for nonlinear bilateral teleoperation manipulators with uncertainty and time delay;Chen;IEEE/ASME Transactions on Mechatronics,2020

2. Iterative learning for heterogeneous systems;Chen;IEEE/ASME Transactions on Mechatronics,2022

3. Design of a trajectory contour controller for a dual-axis precision motion stage based on improved iterative learning;Chen;IET Control Theory & Applications,2023

4. Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach;Djordjevic;Mathematical Biosciences and Engineering,2023

5. Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation;Dong;Accident Analysis and Prevention,2023

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