Batch-to-Batch Iterative Learning Control Using Updated Models Based on a Moving Window of Historical Data

History and Evolution of Modeling in Biotechnology: Modeling & Simulation, Application and Hardware Performance

“…Experiments can be designed to optimize the process itself along with the process model (iterative learning) [129] or to estimate model parameters (model-based design of experiments) [130] . For iterative learning mechanistic, empirical or hybrid models were used and are usually updated batch-to-batch [131] , [132] , [133] . Whereas in 2007 Teixeira et al reported to update their process model sample-to-sample.…”

Application of fractional order iterative learning controller for a type of batch bioreactor

“…After harvesting the product, the next batch can be begun by adding new nutrition material. The repetitive nature of fed batch justifies applying self-learning control algorithms such as Learning Automata [32] and ILC [33].…”

Constraint data‐driven optimal terminal ILC of end product quality for a class of I/O constrained batch processes

“…In recent years, batch processes have received significant attention . The optimal operation of a batch process aims to produce an end product that meets quality specifications .…”

“…Since the batch process is repetitive in nature, it is often designed to improve product quality by learning from operation to operation, which is the essence of iterative learning control (ILC) . Hence, some literature has explored the application of ILC into batch manufacturing processes. However, in many batch operation plants, for example, a typical rapid thermal processing (RTP) process, only the terminal measurements are available and the operation objective is to maintain the terminal output at a desired value.…”

“…[1][2][3][4] The optimal operation of a batch process aims to produce an end product that meets quality specifications. [5][6][7] Since the batch process is repetitive in nature, it is often designed to improve product quality by learning from operation to operation, [1][2][3][4][5][6][7] which is the essence of iterative learning control (ILC). [8] Hence, some literature [1][2][3][4][5][6][9][10][11][12] has explored the application of ILC into batch manufacturing processes.…”