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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
- 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.
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