Automated design of an Unscented Kalman Filter for state- and parameter estimation on unknown models

@article{Schweers2013AutomatedDO,
  title={Automated design of an Unscented Kalman Filter for state- and parameter estimation on unknown models},
  author={Christoph Schweers and Daniel Kruse and Tobias Oesterwinter and Ansgar Trachtler},
  journal={2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE)},
  year={2013},
  pages={1-6}
}
Ever higher demands on modern mechatronic systems, along with increasing complexity and high development pressure, require a high degree of automation in the model-based development process. An automated generation of topology-oriented models on the basis of requirements, solution patterns, and solution elements poses new challenges to the design and… CONTINUE READING