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iterative learning controller is designed in the domain of batch-axis, while an adaptive
single neuron predictive controller (SNPC) in the domain of time-axis. The conver-
gence and tracking performance of the proposed integrated learning control system
are firstly given rigorous description and proof. It showed that the integrated scheme
not only enhanced the control performance of the batch processes but also guaranteed
the convergence and robustness of batch processes.
Acknowledgement. Supported by National Natural Science Foundation of China
(61004019), Research Fund for the Doctoral Program of Higher Education of China
(20093108120013), Shanghai University, “11th Five-Year Plan” 211 Construction
Project.
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