Neural network-based iterative learning control for trajectory tracking of unknown SISO nonlinear systems
Author:
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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1. Cross-coupling indirect iterative learning control method for batch processes with time-varying uncertainties;Systems Science & Control Engineering;2023-12-19
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