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A two-level model predictive control formulation for stabilization and optimization

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2 Author(s)
Zhaoyang Wan ; Dept. of Chem. Eng., Lehigh Univ., Bethlehem, PA, USA ; Kothare, M.V.

In this paper, we present a novel MPC algorithm, which has a two-level hierarchical structure. For the lower level control objective of stabilization, no optimization is involved, making it computationally efficient. For the higher-level control objective of achieving an economic target, on-line optimization is performed with any desired objective function and control horizon without affecting the stability of the closed-loop system. This higher-level optimization problem does not have to be solved within one sampling period, making the overall algorithm computationally attractive. The proposed two-level algorithm is illustrated with a benchmark problem.

Published in:

American Control Conference, 2003. Proceedings of the 2003  (Volume:6 )

Date of Conference:

4-6 June 2003