R-adjustable learning control for batch process
间歇生产过程的R调节学习控制

To track the operation performance of a batch process under iterative learning control, we propose an R-adjustment control strategy. The definitions of zero-tracking error and bounded-tracking error are given according to classical control theory. We investigate the iterative learning control strategy for achieving zero-tracking error in the output, and rigorously prove the tracking ability of the system under control. The most important conclusion is that the zero-tracking error can be achieved by the R-adjustment control strategy, which provides the basis for practical applications.