This work considers the control of batch processes subject to input constraints and model uncertainty with the objective of achieving a desired product quality. First, a computationally efficient nonlinear robust Model Predictive Control (MPC) is designed. The robust MPC scheme uses robust reverse-t
Modeling and inferential control of the batch acetylation of cellulose
✍ Scribed by Anshul Dubey; Matthew J. Realff; Jay H. Lee; F. Joseph Schork; Alessandro Butté; Bernat Ollé; Lawton E. Kizer
- Publisher
- American Institute of Chemical Engineers
- Year
- 2006
- Tongue
- English
- Weight
- 224 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0001-1541
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