Polynomial representation of model uncertainty in dynamical systems

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)
34 Downloads (Pure)


This chapter introduces an approach to capture unmodelled components in dynamical systems through a hierarchical polynomial expansion in the state space. This approach is reminiscent of the empirical acceleration approach commonly used in precise orbit determination to account for unmodelled components in the force model.

Original languageEnglish
Title of host publicationAdvances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
Subtitle of host publicationComputational Methods in Applied Sciences
Place of PublicationCham, Switzerland
Number of pages14
ISBN (Print)9783319899862
Publication statusPublished - 1 Aug 2019

Publication series

NameComputational Methods in Applied Sciences
ISSN (Print)1871-3033


  • dynamical systems
  • hierarchical polynomial expansion
  • uncertainty
  • space missions
  • astronautics


Dive into the research topics of 'Polynomial representation of model uncertainty in dynamical systems'. Together they form a unique fingerprint.

Cite this