Quasi-Linear Model Predictive Control: Stability, Modelling and Implementation

Beschreibung

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, methods and results from the quasi-LPV framework are leveraged to derive tractable stability conditions which are both easier to establish and comparatively less conservative than those derived by other methods.

Autor*in

Pablo Sebastian Gonzalez Cisneros

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Nonlinear Model Predictive Control Quasi-Linear Parameter Vayring Optimizing control

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