제어로봇시스템학회:학술대회논문집
- 1992.10b
- /
- Pages.539-544
- /
- 1992
Iterative learning control based on inverse process model
Abstract
An iterative lear-rung control scheme is newly designed in tile frequency domain. Purposing for batch process control, a generic form of feedback-assisted first-order learning is considered first, and the inverse model-based learning algorithm is derived through convergence analysis in the frequency domain. To enhance the robustness of the proposed scheme, a filtered version is also presented. Performance of the proposed scheme is evaluated through numerical simulations.
Keywords