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An off-line approach for output feedback robust model predictive control.
- Source :
-
Journal of the Franklin Institute . Nov2021, Vol. 358 Issue 17, p9263-9287. 25p. - Publication Year :
- 2021
-
Abstract
- For constrained linear parameter varying systems subject to bounded disturbances and noises, this article investigates an off-line output feedback robust model predictive control approach. The sub-observer gains with robust positively invariant sets, and sub-controller gains with robust control invariant sets are simultaneously off-line optimized and stored in a look-up table. According to real-time estimation error bounds and estimated states, the time-varying sub-observer gains and sub-controller gains are on-line searched. The proposed off-line output feedback robust model predictive control approach with the guarantee of nested robust positively invariant sets and robust control invariant sets in theory reduces the on-line computational burden. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00160032
- Volume :
- 358
- Issue :
- 17
- Database :
- Academic Search Index
- Journal :
- Journal of the Franklin Institute
- Publication Type :
- Periodical
- Accession number :
- 153324090
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2021.09.006