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Switching adaptive output feedback model predictive control for a class of input-constrained linear plants

Authors
Kim, J. -S.Yoon, T. -W.Shim, H.Seo, J. H.
Issue Date
7월-2008
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET CONTROL THEORY AND APPLICATIONS, v.2, no.7, pp.573 - 582
Indexed
SCIE
SCOPUS
Journal Title
IET CONTROL THEORY AND APPLICATIONS
Volume
2
Number
7
Start Page
573
End Page
582
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/123300
DOI
10.1049/iet-cta:20070120
ISSN
1751-8644
Abstract
An adaptive output feedback model predictive control (MPC) for an uncertain input-constrained neutrally stable linear plant using control-relevant switching is presented. By employing an input-to-state stabilising MPC as the multi-controller, switching adaptive output feedback MPC is proposed for the system. Unlike previous methods for handling uncertainties on the basis of minmax MPC laws or techniques for linear parameter varying systems, the proposed MPC scheme employs model switching to deal with modelling uncertainties through adaptation; a best model is selected for the MPC law from time to time. The proposed scheme using finite prediction horizon guarantees global stability. Simulation results are given to show the effectiveness of the scheme.
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