Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
点击次数:
发布时间:2025-04-30
发布时间:2025-04-30
论文名称:Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
发表刊物:Chinese Journal of Chemical Engineering
摘要:In this paper, a reinforced gradient-type iterative learning control profile is proposed by making use of system
matrices and a proper learning step to improve the tracking performance of batch processes disturbed by external
Gaussian white noise. The robustness is analyzed and the range of the step is specified by means of statistical
technique and matrix theory. Compared with the conventional one, the proposed algorithm is more efficient to
resist external noise. Numerical simulations of an injection molding process illustrate that the proposed scheme
is feasible and effective.
合写作者:Xuan Yang, Xiaoe Ruan
卷号:24(5)
页面范围:623-629
是否译文:否
发表时间:2015-12-23

