Convergence of constrained model-based predictive control for batch processes
- 1 October 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 45 (10), 1928-1932
- https://doi.org/10.1109/tac.2000.881002
Abstract
The convergence property of constrained model-based predictive control for batch processes (BMPC) is investigated. BMPC is a recently developed control technique that combines iterative learning control with real-time predictive control. It is proven for a general class of linear constrained systems that the tracking error converges to zero as the run number increases.Keywords
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