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Quasi-Linear Model Predictive Control: Stability, Modelling and Implementation
Citation Link: https://doi.org/10.15480/882.3574
Publikationstyp
Doctoral Thesis
Date Issued
2021
Sprache
English
Author(s)
Advisor
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2021-04-22
Institut
TORE-DOI
TORE-URI
Citation
Dr. Hut 978-3-8439-4797-8: (2021)
Publisher
Dr. Hut
This thesis presents a Nonlinear Model Predictive Control (NMPC) approach based on quasi-Linear Parameter Varying (quasi-LPV) representations of the system model and constraints. This enables the complex online optimization problem entailed by NMPC to be carried out efficiently. Furthermore, the quasi-LPV framework is leveraged to derive tractable stability conditions which are both easier to establish and comparatively less conservative than those derived by other methods.
Subjects
model predictive control
quasi-linear parameter varying systems
constrained control
optimal control
DDC Class
004: Informatik
600: Technik
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GonzalezPablo_QuasiLinearMPC.pdf
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