Details
| Original language | English |
|---|---|
| Pages (from-to) | 65-70 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 49 |
| Issue number | 18 |
| Publication status | Published - 2016 |
| Externally published | Yes |
Abstract
This work proposes a Model Predictive Control (MPC) approach without terminal constraints for switched nonlinear systems subject to time-dependent and a priori unknown switching signals. Under a controllability assumption, it is shown that the controlled system is asymptotically stable if the switching signal fulfills a certain average dwell time condition. The results are applied to a continuous stirred-tank reactor with two different modes of operation.
Keywords
- Model Predictive Control, nonlinear control, switched systems
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
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In: IFAC-PapersOnLine, Vol. 49, No. 18, 2016, p. 65-70.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Stabilizing Model Predictive Control without Terminal Constraints for Switched Nonlinear Systems
AU - Knüfer, Sven
AU - Müller, Matthias A.
AU - Allgöwer, Frank
N1 - Publisher Copyright: © 2016
PY - 2016
Y1 - 2016
N2 - This work proposes a Model Predictive Control (MPC) approach without terminal constraints for switched nonlinear systems subject to time-dependent and a priori unknown switching signals. Under a controllability assumption, it is shown that the controlled system is asymptotically stable if the switching signal fulfills a certain average dwell time condition. The results are applied to a continuous stirred-tank reactor with two different modes of operation.
AB - This work proposes a Model Predictive Control (MPC) approach without terminal constraints for switched nonlinear systems subject to time-dependent and a priori unknown switching signals. Under a controllability assumption, it is shown that the controlled system is asymptotically stable if the switching signal fulfills a certain average dwell time condition. The results are applied to a continuous stirred-tank reactor with two different modes of operation.
KW - Model Predictive Control
KW - nonlinear control
KW - switched systems
UR - http://www.scopus.com/inward/record.url?scp=85009157904&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2016.10.141
DO - 10.1016/j.ifacol.2016.10.141
M3 - Article
AN - SCOPUS:85009157904
VL - 49
SP - 65
EP - 70
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 18
ER -