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Computationally efficient scheduled model predictive control for constrained nonlinear systems with stability guarantees

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

We present a computationally efficient scheduled formulation of model predictive control (MPC) for constrained nonlinear systems with large operating regions. We design a set of local predictive controllers with their explicit regions of stability covering the desired operating region, and implement them as a single scheduled MPC which switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. This algorithm is computationally efficient and provides a general framework for scheduled MPC design.

Published in:

American Control Conference, 2002. Proceedings of the 2002  (Volume:6 )

Date of Conference:

2002