Fuzzy iterative learning control applied in a biological reactor using a reduced number of measures
作者：
Highlights：
• Iterative learning control applied to a biotechnological process.
• It was used a sample time of one hour to known the concentrations in the process because there are not on-line sensors.
• Fuzzy logic improves convergence in the control.
• A theorem is given to have an idea for the gain that guarantees convergence.
• Due theoretic results, interpolation is made to satisfy the theorem proposed.
摘要
•Iterative learning control applied to a biotechnological process.•It was used a sample time of one hour to known the concentrations in the process because there are not on-line sensors.•Fuzzy logic improves convergence in the control.•A theorem is given to have an idea for the gain that guarantees convergence.•Due theoretic results, interpolation is made to satisfy the theorem proposed.
论文关键词：Iterative learning control,Fuzzy logic,Batch reactor
论文评审过程：Available online 14 September 2014.
论文官网地址：https://doi.org/10.1016/j.amc.2014.08.072
