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Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems

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

In this note, we present a computationally efficient scheduled output feedback model predictive control (MPC) algorithm for constrained nonlinear systems with large operating regions. We design a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which on-line switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. The algorithm is illustrated with a highly nonlinear continuous stirred tank reactor process.

Published in:

Automatic Control, IEEE Transactions on  (Volume:49 ,  Issue: 7 )

Date of Publication:

July 2004

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