Abstract
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.
Original language | English (US) |
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Pages (from-to) | 1172-1177 |
Number of pages | 6 |
Journal | IEEE Transactions on Automatic Control |
Volume | 49 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2004 |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering