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An off-line approach for output feedback robust model predictive control.

Authors :
Ping, Xubin
Wang, Xiaojuan
Lin, Tingyu
Ding, Baocang
Polyakov, Andrey
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