Tube-based Guaranteed Cost Robust Model Predictive Control for Linear Systems Subject to Parametric Uncertainties Article Swipe
Related Concepts
Model predictive control
Parametric statistics
Control theory (sociology)
Computer science
Robust control
Subject (documents)
Control (management)
Mathematical optimization
Mathematics
Control system
Engineering
Statistics
Artificial intelligence
Electrical engineering
Library science
Carlos Massera Filho
,
Marco H. Terra
,
Denis F. Wolf
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2012.05349
· OA: W3110674889
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2012.05349
· OA: W3110674889
We propose a tube-based guaranteed cost model predictive controller considering a homothetic formulation for constrained linear systems subject to multiplicative structured norm-bounded uncertainties. It provides an upper bound to the general min-max model predictive control. The invariance property of the proposed tube holds for any arbitrary scaling. It yields a second-order cone programming problem which is less computationally expensive than standard semi-definite programming problems. We also present a numerical example with a comparative study among the proposed approach, an open-loop guaranteed cost model predictive controller, and a homothetic tube model predictive controller for linear difference inclusion systems.
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