Extended Kalman Filter-Based Optimization for Nonlinear Model Predictive Control
DOI:
https://doi.org/10.31224/6893Keywords:
Kalman Filter, Optimal Control, Model Predictive ControlAbstract
This paper proposes a novel optimization strategy for Nonlinear Model Predictive Control (NMPC) of discrete-time nonlinear systems, in which the classical Gauss- Newton or Levenberg-Marquardt update step is replaced by an Extended Kalman Filter (EKF) gain update.
Downloads
Download data is not yet available.
Downloads
Posted
2026-04-23
License
Copyright (c) 2026 Rasit Evduzen

This work is licensed under a Creative Commons Attribution 4.0 International License.