other · SIA OpenIR (Chinese Academy of Sciences) · 1999
Iterative learning control for constrained nonlinear systems
Chen, Wen, Soh, Yengchai, Yin CW(尹朝万)
Cited by 0Abstract and details only
Abstract
An iterative learning control method is presented based on the analysis of the constraint to achieve precise tracking control of a class of constrained nonlinear systems over a finite time interval. The learning is done in a feedback configuration formed by the constraint, and the learning law updates the reference input from the plant input of the previous trail. A sufficient condition which guarantees the convergence of the learning is given. From the derivation, we can establish that the bounds of the asymptotic errors is due to the existence of the constraint terms and its Lie derivative with respect to (f, G, k).
Cite this paper
Chen, W., Soh, Y., & CW(尹朝万), Y. (1999). Iterative learning control for constrained nonlinear systems. SIA OpenIR (Chinese Academy of Sciences).
Chen, Wen, et al. “Iterative learning control for constrained nonlinear systems.” SIA OpenIR (Chinese Academy of Sciences), 1999.
Chen, Wen, Yengchai Soh, and Yin CW(尹朝万). 1999. “Iterative learning control for constrained nonlinear systems.” SIA OpenIR (Chinese Academy of Sciences).
Chen, W., Soh, Y. and CW(尹朝万), Y. (1999) ‘Iterative learning control for constrained nonlinear systems’, SIA OpenIR (Chinese Academy of Sciences).
@misc{chen1999iterative,
title = {{Iterative learning control for constrained nonlinear systems}},
author = {Chen, Wen and Soh, Yengchai and CW(尹朝万), Yin},
journal = {SIA OpenIR (Chinese Academy of Sciences)},
year = {1999}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.