Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
Release Time:2025-04-30
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- Date:
- 2025-04-30
- Title of Paper:
- Robustness of reinforced gradient-type iterative learning control for batch processes with Gaussian noise
- Journal:
- Chinese Journal of Chemical Engineering
- Summary:
- 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.
- Co-author:
- Xuan Yang, Xiaoe Ruan
- Volume:
- 24(5)
- Page Number:
- 623-629
- Translation or Not:
- No
- Date of Publication:
- 2015-12-23