Output feedback model predictive control for LPV systems based on quasi-min-max algorithm
- Authors
- Park, Jee-Hun; Kim, Tae-Hyoung; Sugie, Toshiharu
- Issue Date
- Sep-2011
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Model predictive control; Linear parameter varying systems; Linear matrix inequality
- Citation
- AUTOMATICA, v.47, no.9, pp 2052 - 2058
- Pages
- 7
- Journal Title
- AUTOMATICA
- Volume
- 47
- Number
- 9
- Start Page
- 2052
- End Page
- 2058
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/21295
- DOI
- 10.1016/j.automatica.2011.06.015
- ISSN
- 0005-1098
- Abstract
- This paper proposes a robust output feedback model predictive control (MPC) scheme for linear parameter varying (LPV) systems based on a quasi-min-max algorithm. This approach involves an off-line design of a robust state observer for LPV systems using linear matrix inequality (LMI) and an on-line robust output feedback MPC algorithm using the estimated state. The proposed MPC method for LPV systems is applicable for a variety of systems with constraints and guarantees the robust stability of the output feedback systems. A numerical example for an LPV system subject to input constraints is given to demonstrate its effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Mechanical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.