Abstract
We present a stabilizing 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. This algorithm provides a general framework for scheduled output feedback MPC design.
Original language | English (US) |
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Pages (from-to) | 391-398 |
Number of pages | 8 |
Journal | Journal of Process Control |
Volume | 18 |
Issue number | 3-4 |
DOIs | |
State | Published - Mar 2008 |
Externally published | Yes |
Keywords
- Constrained nonlinear systems
- Linear matrix inequalities
- Model predictive control
- Output feedback
- Scheduling
ASJC Scopus subject areas
- Process Chemistry and Technology
- Control and Systems Engineering
- Industrial and Manufacturing Engineering