1. Iterative learning control with parameter estimation for non-repetitive time-varying systems.
- Author
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Wang, Lei, Huangfu, Ziwei, Li, Ruiwen, Wen, Xiewen, Sun, Yuan, and Chen, Yiyang
- Subjects
- *
ITERATIVE learning control , *TIME-varying systems , *PARAMETER estimation , *BACK propagation - Abstract
This paper presents an extension method of iterative learning control (ILC) to address the applications associated with non-repetitive time-varying systems (NTVSs). Conventional ILC approaches employ fixed nominal system models, but non-repetitive time-varying models may lead to accumulated model uncertainties, which fails to satisfy the robust convergence conditions. To tackle this issue, a novel ILC algorithm with parameter estimation is proposed using back propagation neural network. This algorithm incorporates an approach that utilizes Bayesian regularization training mechanism to accurately estimate non-repetitive time-varying parameters. Through comprehensive experiment on Monolithic XY Stage, the performance of proposed algorithm is validated to demonstrate its feasibility and effectiveness while handling tasks on NTVSs. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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